Prix d'excellence étudiante de l'ACL | CLA Student Achievement Awards
Bibliographic record
Abstract
University of Manitoba): "Lexical variation of expressions for 'died' in Winnipeg obituaries: a diachronic analysis" Laura Ford a présenté une analyse diachronique de l'utilisation de la langue dans les nécrologies de Winnipeg.En se fondant sur des nécrologies publiées dans le Winnipeg Free Press au cours d'une période de 100 ans , Laura a montré que la façon dont les journalistes de Winnipeg parlent de la mort a changé sous l'effet d'évolutions sociales sous-jacentes.Laura a approfondi ce projet apparemment limité avec beaucoup de perspicacité.Les participants ont été impressionnés par sa capacité à combiner différents sous-domaines et à transmettre avec clarté des informations sur sa méthodologie et ses résultats.La période de questions a attesté qu'elle avait manifestement captivé l'intégralité de l'auditoire.*** Laura Ford's talk presented a diachronic analysis of language use in Winnipeg obituaries.Based on obituaries published in the Winnipeg Free Press over the course of 100 years , Laura showed that the way Winnipeg writers refer to dying has changed as a result of underlying societal changes.Laura brought depth and many insights into a seemingly small project.Attendees were impressed by her ability to combine different subfields and to convey information about her methodology and results with clarity.It was clear from the question period that she had engaged the whole audience. Meilleure affiche | Best PosterLiam McFadden (University of Toronto, Mississauga): "Language mapping for linguists" L'affiche de Liam McFadden (coécrite avec Avery Ozburn et Samule Akinbo) présentait un projet appliquant la cartographie linguistique à différentes communautés linguistiques à l'intérieur et au-delà de frontières nationales, et soulignait l'importance des cartes linguistiques autant pour les communautés linguistiques que pour la recherche linguistique.Les participants ont salué les réponses réfléchies de Liam aux questions.Son style de présentation était engageant et l'affiche était bien conçue et visuellement attrayante.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.036 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.021 | 0.006 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.074 | 0.030 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".