Survival-of-the-Fittest Employment Policy
Bibliographic record
Abstract
Policy barriers prevent employment The primary purpose of this report is to identify the policy barriers that make it difficult or impossible for unemployed Canadians to participate in training or in the paid labour market. A related purpose is to discuss the barriers that community organizations face in trying to create job opportunities for the unemployed. The study does not explore remedies at great length. The Caledon Institute will continue to work in this area, putting forward both short- and long-term options for reform. This paper was undertaken at the request of the Partners for Jobs Working Group spear-headed by the Regional Municipality of Ottawa-Carleton (henceforth referred to as the ‘Region’). The barriers discussed in the provincial and local programs pertain primarily to Ontario. But because the concerns were identified through a national survey, the general themes are applicable across Canada. Three sources of information This report is based on three sources of information. First, the laws and policies that com-prise the framework of the individual programs were examined. Second, the study looked at rel-
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 0.002 |
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".