DellaRosa-2010-417 #1448
DellaRosa-2010-417 #1448
Conversation
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I've added DellaRosa-2010-417, @AnnikaTjuka would you care to moderate? |
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Sure, I can moderate. @chrzyki or @MuffinLinwist Would you have time to review the list? |
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Yes, I'll do the review. Thanks for preparing the list! |
concepticondata/conceptlists.tsv
Outdated
| @@ -463,3 +463,4 @@ Rogic-2013-346 Rogić, Maja and Jerončić, Ana and Bošnjak, Marija and Sedlar, | |||
| Liu-2011-435 Liu, Youyi and Meiling, Hao and Li, Ping and Shu, Hua 2011 435 naming test, basic English Chinese https://doi.org/10.1371/journal.pone.0016505.s001 Liu2011 This is a dataset with timed norms for 435 object pictures in Mandarin Chinese. These data include naming latency, name agreement, concept agreement, word length, and age of acquisition (AoA) based on children's naming and adult ratings, and several other adult ratings of concept familiarity, subjective word frequency, image agreement, image variability, and visual complexity. The picture stimuli were taken from multiple sources marked by numbers from 1 to 5: Cycowicz et al. (1997) - 1, Bonin et al. (2003) - 2, the PNT (Roach et al., 1996) - 3, Zhang & Yang (2003) -4, and other -5. | |||
| Ramanujan-2019-158 Ramanujan, Keerthi and Weekes, Brendan S. 2019 158 naming test, basic English Hindi https://doi.org/10.1017/S1366728918001177 Ramanujan2019 This is a dataset with Hindi norms for 158 object pictures from [Snodgrass and Vanderwart (1980)](:bib:Snodgrass1980) with stimuli selected from the color version of the dataset by Rossion&Pourtois (2004). From the original 260, those items were excluded that were e.g. culturally unfamiliar or that were uncommon in the Hindi visual context. The remaining data was normed on nameability, naming latency, name agreement, image agreement, familiarity and visual complexity, average latency, age of acquisition, word length in syllables, phonemes and alpha syllables and lastly, word frequency. | |||
| Dunabeitia-2022-500 Duñabeitia, Jon Andoni and Baciero, Ana and Antoniou, Kyriakos and Antoniou, Mark and Ataman, Esra and Baus, Cristina and Ben-Shachar, Michal and Çağlar, Ozan Can and Chromý, Jan and Comesaña, Montserrat and Filip, Maroš and Filipović Đurđević, Dušica and Gillon Dowens, Margaret and Hatzidaki, Anna and Januška, Jiří and Jusoh, Zuraini and Kanj, Rama and Kim, Say Young and Kırkıcı, Bilal and Leminen, Alina and Lohndal, Terje and Yap, Ngee Thai and Renvall, Hanna and Rothman, Jason and Royle, Phaedra and Santesteban, Mikel and Sevilla, Yamila and Slioussar, Natalia and Vaughan-Evans, Awel and Wodniecka, Zofia and Wulff, Stefanie and Pliatsikas, Christos 2022 500 naming test, basic English American English, Australian English, Basque, Western Flemish, British English, Catalan, Cypriot Greek, Czech, Finnish, French, German, Greek, Hebrew, Hungarian, Italian, Korean, Lebanese Arabic, Malay, Malaysian English, Mandarin Chinese, Dutch, Norwegian, Polish, Portuguese, Quebec French, Rioplatense Spanish, Russian, Serbian, Slovak, Spanish, Turkish, Welsh, global https://figshare.com/articles/dataset/Untitled_Item/19328939 Dunabeitia2022 This is a continuation of the [Dunabeitia et al. (2018)](:bib:Dunabeitia2018)dataset, now with 32 languages (American English, Australian English, Basque, Western Flemish, British English, Catalan, Cypriot Greek, Czech, Finnish, French, German, Greek, Hebrew, Hungarian, Italian, Korean, Lebanese Arabic, Malay, Malaysian English, Mandarin Chinese, Dutch, Norwegian, Polish, Portuguese, Quebec French, Rioplatense Spanish, Russian, Serbian, Slovak, Spanish, Turkish, Welsh) in total and with familiarity ratings for 500 chosen picture stimuli of the original 750. The pictures were standardized for name agreement and visual complexity as well. | |||
| DellaRossa-2010-417 Della Rosa, Pasquale A. and Catricà, Eleonora and Vigliocco, Gabriella and Cappa, Stefano F. 2010 417 ratings English Italian https://doi.org/10.3758/BRM.42.4.1042 DellaRossa2010 This list of 417 Italian nouns was rated concerning mode of acquisition, concreteness, imageability, familiarity, age of acquisition, context availability, and abstractness. Ratings were given by 250 Italian native speakers. 1042-1048 | |||
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Working through the concepts right now. Just noticed that the author's last name is spelled Rossa in your IDs (list name, IDs in concept list table, etc.) but is spelled Rosa.
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Thank you for pointing that out!
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It seems I've messed with it one too many times but I'm on fixing it right now... |
No worries and take your time! Happy to help in case you need any assistance. (in this particular case, the list ID inside of the concept list doesn't match the concept list name, i.e. inside the list it's still |
I'd be happy to help :) |
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Thanks for the work, @MiraAhmedovic! I've added some small comments regarding the references.bib file and suggested a few mappings for unmapped entries on the list and some candidates for new concepts in Concepticon. Maybe it is worth it to check again the mappings a second time :)
| @Article{DellaRosa2010, | ||
| Title = {Beyond the abstract—concrete dichotomy: Mode of acquisition, concreteness, imageability, familiarity, age of acquisition, context availability, and abstractness norms for a set of 417 Italian words}, | ||
| Author = {Della Rosa, Pasquale A. and Catrical{\`a}, Eleonora and Vigliocco, Gabriella and Cappa, Stefano F.}, | ||
| Journal = {Behavior research methods}, |
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Just a minimal comment and question: Maybe we can put this in capital letters (Behavior Research Methods). Should we also add the Publisher = {Springer Nature}?
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Yes, capitalize Behavior Research Methods and publisher: Springer, as in e.g. Schroeder2012.
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In this case, to the BibTeX entry before to this one may be added the publisher as well :)
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We usually don't add the publisher to a "@Article" entry.
| DellaRosa-2010-417-389 389 Specchio mirror 1171 MIRROR 650 678 616 194 662 115 156 | ||
| DellaRosa-2010-417-390 390 Stanza room 1450 ROOM 674 667 679 194 674 146 145 | ||
| DellaRosa-2010-417-391 391 Statua statue 1002 STATUE 691 685 540 290 579 105 241 | ||
| DellaRosa-2010-417-392 392 Stazione station 668 680 642 268 675 135 211 |
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Perhaps we can add a STATION concept? There are already a few instances in previous lists.
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@MiraAhmedovic Could you open an issue linking this PR where we can decide whether we want to include STATION as a new concept?
| DellaRosa-2010-417-355 355 Perla pearl 3325 PEARL 687 680 497 331 613 129 225 | ||
| DellaRosa-2010-417-356 356 Persone people 789 PEOPLE 611 644 663 173 615 200 300 | ||
| DellaRosa-2010-417-357 357 Pescatore fisherman 1858 FISHERMAN 661 673 509 244 626 142 215 | ||
| DellaRosa-2010-417-358 358 Pianeta planet 563 663 482 300 547 241 444 |
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Maybe a candidate for a new concept? Already a few instances in previous lists.
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@MiraAhmedovic Could you open an issue linking this PR where we can decide whether we want to include PLANET as a new concept?
| DellaRosa-2010-417-350 350 Pecora sheep 1331 SHEEP 695 694 595 173 626 113 413 | ||
| DellaRosa-2010-417-351 351 Pelle skin 763 SKIN 668 656 667 235 638 129 159 | ||
| DellaRosa-2010-417-352 352 Pennello brush 3094 PAINTBRUSH 691 665 547 229 635 106 256 | ||
| DellaRosa-2010-417-353 353 Peperone pepper 700 697 647 218 647 106 300 |
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This can be mapped to PEPPER 1385 :)
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I deleted the initial mapping for 1385 PEPPER here since the English term is vague with respect to the spice or the fruit, whereas Italian "peperone" (as far as I can tell) refers to the fruit whereas the spice would be "pepe". I could still re-map it if you think it's fitting though
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I agree and would leave it unmapped.
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Yes, sorry, my bad! Didn't check the definition of the concept and missed that it refers to the spice.
| DellaRosa-2010-417-342 342 Orso bear 1820 BEAR 659 700 487 225 642 110 265 | ||
| DellaRosa-2010-417-343 343 Ospedale hospital 616 HOSPITAL 658 693 656 241 696 167 270 | ||
| DellaRosa-2010-417-344 344 Ospite guest 1782 GUEST 550 497 594 322 580 221 338 | ||
| DellaRosa-2010-417-345 345 Palma palm 679 688 487 311 650 110 244 |
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This concept refers to PALM OF TREE, right? If so, this can me mapped to PALM TREE 1181. If not, I'm sure there is one concept for PALM (OF HAND) :)
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I was unsure here as well since "palma" can apparenly mean both those things, much like it does in English. We also have both concepts (1181 as you said above but also 1183 PALM OF HAND). There seems to be some preference to use "palmo" in the hand context but I was not sure enough to make a decision either way
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That's a tricky one and a nice colexification! Since we don't have any previous mappings and the "palm of hand" meaning seems dominant, I'd map to 1183 PALM OF HAND for now.
| DellaRosa-2010-417-300 300 Gufo owl 735 OWL 685 676 480 265 625 124 244 | ||
| DellaRosa-2010-417-301 301 Infermiera nurse 1104 NURSE 630 640 579 285 631 125 317 | ||
| DellaRosa-2010-417-302 302 Ingegnere engineer 621 544 530 456 556 137 400 | ||
| DellaRosa-2010-417-303 303 Insalata salad 685 687 684 200 676 109 147 |
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Perhaps a good candidate for a new concept. Already a number of entries in previous concept lists.
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@MiraAhmedovic Could you open an issue linking this PR where we can decide whether we want to include SALAD as a new concept?
| DellaRosa-2010-417-261 261 Corallo coral 3179 CORAL ROCK 650 638 441 358 570 144 369 | ||
| DellaRosa-2010-417-262 262 Corona crown 1943 CROWN (OF HEAD) 668 647 488 242 585 153 300 | ||
| DellaRosa-2010-417-263 263 Cravatta tie 3711 TIE (NOUN) 694 688 552 250 675 105 200 | ||
| DellaRosa-2010-417-264 264 Cristallo crystal 661 584 439 374 581 165 332 |
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Maybe a good candidate for a concept. Few entries in previous lists present on Concepticon.
| DellaRosa-2010-417-244 244 Carota carrot 3085 CARROT 700 671 668 179 650 100 194 | ||
| DellaRosa-2010-417-245 245 Casco helmet 1680 HELMET 688 680 591 288 644 110 226 | ||
| DellaRosa-2010-417-246 246 Cavallo horse 615 HORSE 679 692 585 182 675 100 163 | ||
| DellaRosa-2010-417-247 247 Caverna cavern 623 678 405 231 641 141 374 |
| DellaRossa-2010-417-4 4 Affermazione affirmation 274 265 516 424 376 375 425 | ||
| DellaRossa-2010-417-5 5 Affetto affection 3834 LOVE (AFFECTION) 284 465 584 294 550 488 363 | ||
| DellaRossa-2010-417-6 6 Agitazione perturbation 413 311 541 320 497 441 364 | ||
| DellaRossa-2010-417-7 7 Agonia agony 1783 PAIN 294 332 305 480 444 476 600 |
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Our mappings are not consistent with respect to pain/agony. I don't think that PAIN is a good fit in all of these cases.
| DellaRosa-2010-417-4 4 Affermazione affirmation 274 265 516 424 376 375 425 | ||
| DellaRosa-2010-417-5 5 Affetto affection 3834 LOVE (AFFECTION) 284 465 584 294 550 488 363 | ||
| DellaRosa-2010-417-6 6 Agitazione perturbation 413 311 541 320 497 441 364 | ||
| DellaRosa-2010-417-7 7 Agonia agony 1783 PAIN 294 332 305 480 444 476 600 |
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We're not consistent with the agony/pain mappings in Concepticon and I'm not entirely happy with mapping agony to pain. What do you think?
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I agree and would unmap.
| DellaRosa-2010-417-18 18 Assoluzione absolution 194 226 267 500 425 557 629 | ||
| DellaRosa-2010-417-19 19 Avarizia greed 221 244 385 412 425 495 632 | ||
| DellaRosa-2010-417-20 20 Bellezza beauty 370 479 621 271 563 400 395 | ||
| DellaRosa-2010-417-21 21 Calma calmness 258 CALM 259 380 585 327 456 515 516 |
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calm vs calmness, TODO
Whops, sorry, meant to edit this before finishing the review. For the Italian experts: would this mapping work here?
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It seems like our concept refers to a property, so I should probably unmap it anyway?
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Yeah, that was my thinking as well.
| DellaRosa-2010-417-65 65 Esplorazione exploration 335 304 452 379 456 390 447 | ||
| DellaRosa-2010-417-66 66 Fallimento failure 344 263 455 420 400 450 520 | ||
| DellaRosa-2010-417-67 67 Fantasma ghost 1175 GHOST 285 596 400 235 538 310 416 | ||
| DellaRosa-2010-417-68 68 Fascino charm 1271 DELIGHT 246 430 495 475 476 535 550 |
| DellaRosa-2010-417-71 71 Fiducia confidence 232 230 587 370 436 502 495 | ||
| DellaRosa-2010-417-72 72 Filosofia philosophy 179 206 547 521 318 519 438 | ||
| DellaRosa-2010-417-73 73 Follia madness 319 380 538 447 522 475 515 | ||
| DellaRosa-2010-417-74 74 Forza force 2526 POWER 416 388 563 258 471 413 400 |
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I think force doesn't fit our POWER.
| DellaRosa-2010-417-198 198 Torto harm 2947 DAMAGE (INJURY) 235 244 433 388 419 535 574 | ||
| DellaRosa-2010-417-199 199 Tradimento betrayal 363 300 464 415 485 418 432 | ||
| DellaRosa-2010-417-200 200 Tranquillità ease 329 460 588 344 487 458 470 | ||
| DellaRosa-2010-417-201 201 Tristezza woe 2553 MISERY 241 380 618 238 544 450 400 |
| DellaRosa-2010-417-226 226 Banchiere banker 615 560 406 403 556 155 379 | ||
| DellaRosa-2010-417-227 227 Bandiera flag 2623 FLAG 685 672 558 238 644 110 158 | ||
| DellaRosa-2010-417-228 228 Barba beard 678 BEARD 685 684 576 191 631 110 189 | ||
| DellaRosa-2010-417-229 229 Bicchiere glass 669 696 695 150 694 106 128 |
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I was also on the fence about this one... From what I gather, "bicchiere" refers to a cup made of glass/the contents within a glass rather than the substance itself ("vetro"), that's why I unmapped it initially
| DellaRosa-2010-417-259 259 Conchiglia shell 598 SHELL 697 694 527 240 642 100 144 | ||
| DellaRosa-2010-417-260 260 Conte earl 558 573 371 356 504 196 435 | ||
| DellaRosa-2010-417-261 261 Corallo coral 3179 CORAL ROCK 650 638 441 358 570 144 369 | ||
| DellaRosa-2010-417-262 262 Corona crown 1943 CROWN (OF HEAD) 668 647 488 242 585 153 300 |
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Not super familiar with Italian. Is corona also for crown of head? Or is this just the 'clothing' crown?
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From a basic search in Google, I'd say so.
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I interpreted the concept as the crown made of gold/jewelry item, given the other mappings. Should I rather unmap?
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That's my bad, sorry, I misremembered our CROWN definition. All good with the current mapping I'd say. :) Sorry for the confusion!
| DellaRosa-2010-417-263 263 Cravatta tie 3711 TIE (NOUN) 694 688 552 250 675 105 200 | ||
| DellaRosa-2010-417-264 264 Cristallo crystal 661 584 439 374 581 165 332 | ||
| DellaRosa-2010-417-265 265 Cucchiaio spoon 1378 SPOON 689 694 679 148 682 106 288 | ||
| DellaRosa-2010-417-266 266 Cugino cousin 3822 MALE COUSIN 638 584 555 215 621 156 240 |
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Is cugino only male cousin or isn't this just COUSIN in general?
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yes, and cugina is female cousin.
| @Article{DellaRosa2010, | ||
| Title = {Beyond the abstract—concrete dichotomy: Mode of acquisition, concreteness, imageability, familiarity, age of acquisition, context availability, and abstractness norms for a set of 417 Italian words}, | ||
| Author = {Della Rosa, Pasquale A. and Catrical{\`a}, Eleonora and Vigliocco, Gabriella and Cappa, Stefano F.}, | ||
| Journal = {Behavior research methods}, |
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Yes, capitalize Behavior Research Methods and publisher: Springer, as in e.g. Schroeder2012.
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Based on what @AnnikaTjuka pointed out, I still omitted Publisher for both DellaRosa and Gruehn. |
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@chrzyki and @MuffinLinwist Many thanks for your reviews! I added a few more comments.
concepticondata/conceptlists.tsv
Outdated
| @@ -463,3 +463,4 @@ Rogic-2013-346 Rogić, Maja and Jerončić, Ana and Bošnjak, Marija and Sedlar, | |||
| Liu-2011-435 Liu, Youyi and Meiling, Hao and Li, Ping and Shu, Hua 2011 435 naming test, basic English Chinese https://doi.org/10.1371/journal.pone.0016505.s001 Liu2011 This is a dataset with timed norms for 435 object pictures in Mandarin Chinese. These data include naming latency, name agreement, concept agreement, word length, and age of acquisition (AoA) based on children's naming and adult ratings, and several other adult ratings of concept familiarity, subjective word frequency, image agreement, image variability, and visual complexity. The picture stimuli were taken from multiple sources marked by numbers from 1 to 5: Cycowicz et al. (1997) - 1, Bonin et al. (2003) - 2, the PNT (Roach et al., 1996) - 3, Zhang & Yang (2003) -4, and other -5. | |||
| Ramanujan-2019-158 Ramanujan, Keerthi and Weekes, Brendan S. 2019 158 naming test, basic English Hindi https://doi.org/10.1017/S1366728918001177 Ramanujan2019 This is a dataset with Hindi norms for 158 object pictures from [Snodgrass and Vanderwart (1980)](:bib:Snodgrass1980) with stimuli selected from the color version of the dataset by Rossion&Pourtois (2004). From the original 260, those items were excluded that were e.g. culturally unfamiliar or that were uncommon in the Hindi visual context. The remaining data was normed on nameability, naming latency, name agreement, image agreement, familiarity and visual complexity, average latency, age of acquisition, word length in syllables, phonemes and alpha syllables and lastly, word frequency. | |||
| Dunabeitia-2022-500 Duñabeitia, Jon Andoni and Baciero, Ana and Antoniou, Kyriakos and Antoniou, Mark and Ataman, Esra and Baus, Cristina and Ben-Shachar, Michal and Çağlar, Ozan Can and Chromý, Jan and Comesaña, Montserrat and Filip, Maroš and Filipović Đurđević, Dušica and Gillon Dowens, Margaret and Hatzidaki, Anna and Januška, Jiří and Jusoh, Zuraini and Kanj, Rama and Kim, Say Young and Kırkıcı, Bilal and Leminen, Alina and Lohndal, Terje and Yap, Ngee Thai and Renvall, Hanna and Rothman, Jason and Royle, Phaedra and Santesteban, Mikel and Sevilla, Yamila and Slioussar, Natalia and Vaughan-Evans, Awel and Wodniecka, Zofia and Wulff, Stefanie and Pliatsikas, Christos 2022 500 naming test, basic English American English, Australian English, Basque, Western Flemish, British English, Catalan, Cypriot Greek, Czech, Finnish, French, German, Greek, Hebrew, Hungarian, Italian, Korean, Lebanese Arabic, Malay, Malaysian English, Mandarin Chinese, Dutch, Norwegian, Polish, Portuguese, Quebec French, Rioplatense Spanish, Russian, Serbian, Slovak, Spanish, Turkish, Welsh, global https://figshare.com/articles/dataset/Untitled_Item/19328939 Dunabeitia2022 This is a continuation of the [Dunabeitia et al. (2018)](:bib:Dunabeitia2018)dataset, now with 32 languages (American English, Australian English, Basque, Western Flemish, British English, Catalan, Cypriot Greek, Czech, Finnish, French, German, Greek, Hebrew, Hungarian, Italian, Korean, Lebanese Arabic, Malay, Malaysian English, Mandarin Chinese, Dutch, Norwegian, Polish, Portuguese, Quebec French, Rioplatense Spanish, Russian, Serbian, Slovak, Spanish, Turkish, Welsh) in total and with familiarity ratings for 500 chosen picture stimuli of the original 750. The pictures were standardized for name agreement and visual complexity as well. | |||
| DellaRosa-2010-417 Della Rosa, Pasquale A. and Catricà, Eleonora and Vigliocco, Gabriella and Cappa, Stefano F. 2010 417 ratings English Italian https://doi.org/10.3758/BRM.42.4.1042 DellaRosa2010 This list of 417 Italian nouns was rated concerning mode of acquisition, concreteness, imageability, familiarity, age of acquisition, context availability, and abstractness. Ratings were given by 250 Italian native speakers. 1042-1048 | |||
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The column with "pages" only applies if the data is given directly in an article as a table or appendix. You can delete the page numbers since the data are represented in a separate file.
| DellaRosa-2010-417-2 2 Accelerazione acceleration 344 342 468 445 409 415 488 | ||
| DellaRosa-2010-417-3 3 Accordo deal 262 300 468 388 368 459 547 | ||
| DellaRosa-2010-417-4 4 Affermazione affirmation 274 265 516 424 376 375 425 | ||
| DellaRosa-2010-417-5 5 Affetto affection 3834 LOVE (AFFECTION) 284 465 584 294 550 488 363 |
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We only have mappings of "love" glosses to this concept and "affection" glosses are unmapped. I'd therefore unmap.
| DellaRosa-2010-417-162 162 Reazione reaction 291 309 509 422 425 421 431 | ||
| DellaRosa-2010-417-163 163 Reputazione reputation 215 213 411 569 282 594 619 | ||
| DellaRosa-2010-417-164 164 Resistenza resistance 291 306 474 443 430 482 469 | ||
| DellaRosa-2010-417-165 165 Responsabilità responsibility 3471 OBLIGATION (DUTY) 262 232 576 418 438 550 611 |
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Since we have DUTY mapped above, I'd unmap here.
| DellaRosa-2010-417-188 188 Sorpresa surprise 3848 SURPRISE (FEELING) 332 421 582 246 515 456 319 | ||
| DellaRosa-2010-417-189 189 Sospetto suspicion 3197 SUSPICION 224 304 424 435 419 535 563 | ||
| DellaRosa-2010-417-190 190 Stile style 258 326 511 500 359 506 581 | ||
| DellaRosa-2010-417-191 191 Stupore wonder 3851 AWE 339 440 515 366 422 496 500 |
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"Stupore" seems to be closer to "astonishment", so I'd unmap here.
| DellaRosa-2010-417-281 281 Fiamma flame 889 FLAME 652 687 541 266 652 175 135 | ||
| DellaRosa-2010-417-282 282 Flotta fleet 600 644 442 330 582 163 375 | ||
| DellaRosa-2010-417-283 283 Folla crowd 2023 CROWD 581 674 558 319 647 221 297 | ||
| DellaRosa-2010-417-284 284 Fontana fountain 2144 SPRING OR WELL 685 676 561 209 613 105 147 |
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"fountain" is usually mapped to 849 SPRING (OF WATER).
| DellaRosa-2010-417-321 321 Marea tide 891 TIDE 535 561 416 413 579 221 419 | ||
| DellaRosa-2010-417-322 322 Martello hammer 1481 HAMMER 700 697 595 209 653 106 275 | ||
| DellaRosa-2010-417-323 323 Matita pencil 2578 PENCIL 694 684 679 194 694 100 121 | ||
| DellaRosa-2010-417-324 324 Matrimonio wedding 3182 MARRIAGE OR WEDDING 489 621 616 248 632 313 375 |
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We have a concept 1259 WEDDING and one Italian gloss is already mapped to it.
| @@ -4846,5 +4846,15 @@ @Article{Gruehn2008 | |||
| Number = {4}, | |||
| Pages = {1088--1097}, | |||
| Year = {2008}, | |||
| Doi = {10.3758/BRM.40.4.1088} | |||
| Doi = {10.3758/BRM.40.4.1088}, | |||
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The comma at the end of this line is not necessary and can be deleted.
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I think all requested changes have been implemented (apart from publisher based on what @AnnikaTjuka pointed out). Is there anything I missed? :) |
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@chrzyki I checked that your changes are implemented but you still need to approve the PR before we can merge. |
Pull request checklist
concepticon notlinked --gloss "NEW_GLOSS"Additional information
This PR adds DellaRosa-2010-417 based on DellaRosa et al. (2010) "Beyond the abstract—concrete dichotomy: Mode of acquisition, concreteness, imageability, familiarity, age of acquisition, context availability, and abstractness norms for a set of 417 Italian words", closes #1279
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