Peur de l’échec à l’école et dans les sports : apport du modèle de l’excellencisme et du perfectionnisme
Bibliographic record
Abstract
Cet article présente les fondements d’une nouvelle théorie pour contraster les effets de l’excellencisme et du perfectionnisme. Une étude a été réalisée auprès de 156 étudiants universitaires qui participaient à des sports organisés. Le perfectionnisme, au-delà de l’excellencisme, semble avoir une valeur incrémentale nulle pour prédire l’accomplissement sportif et scolaire ainsi qu’une valeur incrémentale débilitante pour prédire la peur de l’échec et les difficultés de conciliation sport-études. Poursuivre la perfection ne semble pas nécessaire. Poursuivre l’excellence semble suffisant pour obtenir des performances optimales, minimiser la peur de l’échec et réduire les difficultés à concilier le sport et les études.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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; a candidate call from one teacher head, 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".