Self‐control and Resistance to School*
Bibliographic record
Abstract
Dans cet article, on examine la relation entre l'autocontrôle, le contrôle social et la résistance au système scolaire. Les données d'étude sont tirées d'un sondage réalisé auprès d'étudiants des premier et deuxième cycles du secondaire en Alberta. Les résultats de ce sondage penchent fortement en faveur de la General Theory of Crime (Gottfredson et Hirschi, 1990), selon laquelle la perte d'autocontrôle est le prédicteur le plus sûr de tous les types de résistance. Les résultats soutiennent l'hypothèse voulant que, si le lien entre classe sociale (ou bien genre ou appartenance ethnique) et résistance est ténu (au Canada du moins), c'est peut‐être parce que les mécanismes d'autocontrôle qui suscitent ou rejettent le phénomène de résistance ne sont pas intimement liés à la classe sociale (ou bien au genre ou à l'appartenance ethnique). Toutefois, le sexe, l'âge, la classe sociale et l'appartenance ethnique restent étroitement liés à certains ou à l'ensemble des aspects de la résistance au système scolaire même en présence d'autocontrôle. Les conclusions de la General Theory of Crime et leurs répercussions sont également abordées ici. This paper tests the relationship between self‐control, social control and resistance to school. The data source is a survey of senior and junior high‐school students in Alberta, Canada. Results offer strong support for the General Theory of Crime (Gottfredson and Hirschi, 1990) in that lack of self‐control is the strongest predictor of all types of resistance. The results support the hypothesis that if the link between social class (or gender and ethnicity) and resistance is low (at least in Canada), it may be because self‐control mechanisms that produce or repudiate resistance are not strongly linked to social class (or gender and ethnicity). Nevertheless, gender, age, class and ethnicity maintain a significant relationship with some or all aspects of resistance to school even after controlling for self‐control. Implications of the findings for the General Theory of Crime are discussed.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".