Bibliographic record
Abstract
While Murphy, Zhang & Dionne (2012) report a slight decrease in the average duration of poverty spells in Canada over the past decade, little is understood about the factors associated with poverty duration in Canada, nor which factors, if any, may affect women and men differently. Moreover, research pays scant attention to how far Canadians transition out of poverty. For example, some may exit poverty only marginally while others exit to much higher incomes. We investigate the determinants of poverty duration among women and men in Canada. A major contribution of this paper is the examination of poverty duration across different exit destinations (competing risks); exits to just above the poverty line versus exits to higher levels of income. We find that nearly ¼ of poverty spells end within 110% of the poverty line (near poverty). Many of those that exit to near poverty experience multiple spells. As expected, we find that higher education increases the the lower the probability of exit, particularly to higher income levels. We find few significant gender differences in the coefficient estimates. However, several factors associated with exit to higher income levels differ from those factors that are associated with exits to near poverty.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 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; 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".