Ageism among psychology students: A comparative analysis between Belgium and Quebec (Canada)
Bibliographic record
Abstract
Cette étude visait à évaluer les attitudes âgistes chez les étudiants en psychologie qui sont, potentiellement, de futurs professionnels de la santé. Cette étude visait également à examiner si les attitudes des étudiants québécois étaient plus favorables que les attitudes des étudiants belges. Le Québec est en effet engagé dans différentes initiatives favorables aux aînés qui peuvent promouvoir différents facteurs socio-économiques associés à des attitudes plus positives envers eux. Un total de 236 étudiants en psychologie (81 Belges et 155 Québécois) ont répondu à différents questionnaires mesurant leurs attitudes. Les étudiants québécois exprimaient en effet des attitudes globalement moins négatives envers les aînés. Étant donné que les attitudes négatives peuvent influencer le choix de travailler avec des personnes âgées et entraîner des conséquences néfastes dans le contexte de l’évaluation et de soin, nous discutons différentes pistes visant à améliorer ces attitudes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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; both teacher heads agree on what is shown here.
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".