Retrato psicosocial y académico de los adolescentes de Quebec con conductas extremas de control de peso
Bibliographic record
Abstract
El proposito de esta investigacion es determinar hasta que punto los adolescentes de Quebec con comportamientos extremos de control de peso (CECP) difieren de los que no lo tienen en terminos de indice de masa corporal (IMC), experiencia de intimidacion, concepto de si y rendimiento academico. 835 estudiantes de entre 14 y 18 anos rellenaron un cuestionario en linea. Los que dieron pruebas de tener uno o mas CECP tenian un mayor IMC y un concepto de si mas debilitado que los que no lo hicieron. Existia una mayor probabilidad de ue hubieran sido intimidados por su peso. Las ninas con CECP presentaban un menor rendimiento academico en matematicas que las ninas sin CECP. Los resultados sugieren que la intervencion temprana y preventiva con los adolescentes es importante para evitar que su funcionamiento social, personal y escolar se deteriore y que los CECP continuen.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".