Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
06–475 Al-Ali, Mohammed N. (Jordan U of Science and Technology, Irbid, Jordan), Genre-pragmatic strategies in English letter-of-application writing of Jordanian Arabic–English bilinguals . International Journal of Bilingual Education and Bilingualism (Multilingual Matters) 9.1 (2006), 119–139. 06–476 Anderson, Bill (Massey U College of Education, New Zealand; w.g.anderson@massey.ac.nz ), Writing power into online discussion . Computers and Composition (Elsevier) 23.1 (2006), 108–124. 06–477 Blaır, Kristine & Cheryl Hoy (Bowling Green State U, USA; kblair@bgnet.bgsu.edu ), Paying attention to adult learners online: The pedagogy and politics of community . Computers and Composition (Elsevier) 23.1 (2006), 32–48. 06–478 Blakelock, Jane & Tracy E. Smith (Wright State U, USA; jane.blakelock@wright.edu ) Distance learning: From multiple snapshots, a composite portrait . Computers and Composition (Elsevier) 23.1 (2006), 139–161. 06–479 Bulley, Míchael, Was that necessary? English Today (Cambridge University Press) 22.2 (2006), 47–49. 06–480 Chi-Fen, Emily Chen (National Kaohsiung First U of Science and Technology, Taiwan; emchen@ccms.nkfust.edu.tw ), The development of email literacy: From writing to peers to writing to authority figures. Language Learning & Technology ( http://llt.msu.edu ) 10.2 (2006), 35–55. 06–481 Chikamatsu, Nobuko (DePaul U, Chicago, USA; nchikama@condor.depaul.edu ), Developmental word recognition: A study of L1 English readers of L2 Japanese . The Modern Language Journal (Blackwell) 90.1 (2006), 67–85. 06–482 DePew, Kevin Eric (Old Dominion U, USA; Kdepew@odu.edu ), T. A. Fishman, Julia E. Romberger & Bridget Fahey Ruetenik, Designing efficiencies: The parallel narratives of distance education and composition studies . Computers and Composition (Elsevier) 23.1 (2006), 49–67. 06–483 Dix, Stephanie (Hamilton, New Zealand; stephd@waikato.ac.nz ), ‘What did I change and why did I do it?’ Young writers' revision practices . 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Bishop, Auditory frequency discrimination in children with dyslexia . Journal of Research in Reading (Blackwell) 29.2 (2006), 213–228. 06–489 Hayes, John R. (Carnegie Mellon U, USA) & N. Ann Chenoweth, Is working memory involved in the transcribing and editing of texts? Written Communication (Sage) 23.2 (2006), 135–149. 06–490 Hewett, Beth L. (Forest Hill, MD, USA; beth.hewett@comcast.net ), Synchronous online conference-based instruction: A study of whiteboard interactions and student writing . Computers and Composition (Elsevier) 23.1 (2006), 4–31. 06–491 Hilton, Mary (U Cambridge, UK; mhiltonhom@aol.com ), Damaging confusions in England's KS2 reading tests: A response to Anne Kispal . Literacy (Blackwell) 40.1 (2006), 36–41. 06–492 Hock Seng, Goh (U Pendikikan Sultan Idris, Malaysia) & Fatimah Hashim, Use of L1 in L2 reading comprehension among tertiary ESL learners . Reading in a Foreign Language ( http://www.nflrc.hawaii.edu ) 18.1 (2006), 26 pp. 06–493 Khuwaileh, Abdullah A. (Abu Dhabi, Al-ain, United Arab Emirates), Medical rhetoric: A contrastive study of Arabic and English in the UAE . English Today (Cambridge University Press) 22.2 (2006), 38–44. 06–494 Kondo-Brown, Kimi (U Hawaii at Manoa, USA), Affective variables and Japanese L2 reading ability . Reading in a Foreign Language ( http://www.nflrc.hawaii.edu ) 18.1 (2006), 17 pp. 06–495 Lee, Jin Sook (U California, USA), Exploring the relationship between electronic literacy and heritage language maintenance . Language Learning & Technology ( http://llt.msu.edu ) 10.2 (2006), 93–113. 06–496 Macaruso, Paul (Community College of Rhode Island, USA; pmacaruso@ccri.edu ), Pamela E. Hook & Robert McCabe, The efficacy of computer-based supplementary phonics programs for advancing reading skills in at-risk elementary students . 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Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle