Bibliographic record
Abstract
The purpose of this study was to shed light on non-residential fatherhood in Canada. Data come from the 2012 LISA. Analysis was restricted to fathers who had children under the age of 19 (N=3,592). Approximately 17.4% were non-residential fathers. Logistic regression models indicated that being outside a marital union, low educational attainment and low income were associated with increased odds of being a non-residential father. Teen parenthood was not a statistically significant predictor. I discuss the implications of these findings as well as the need for measures that better capture variability in the living arrangements of fathers and their children.Le but de cette étude est d’éclairer le phénomène de paternité non résidentielle au Canada. Les données proviennent du sondage LISA 2012. L'analyse est limitée aux pères ayant des enfants de moins de 19 ans (N = 3 592). Environ 17,4% sont des pères non-résidentiels. Les modèles de régression logistique indiquent qu'étant hors d'une union maritale, d'avoir un faible niveau de scolarité, et de faible revenu est associé à une probabilité élevée d'être un père non-résidentiel. Être un parent adolescent n’est pas un prédicteur statistiquement significatif. Je discute des implications de ces résultats ainsi que de la nécessité de mesures qui permettent de mieux saisir la variabilité des modes de vie des pères et de leurs enfants.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".