Accountability regimes in federal‐provincial Labour Market Agreements 1995‐2015
Bibliographic record
Abstract
Abstract Workforce development policy in Canada has undergone extensive reforms in the past two decades, often driven by intergovernmental pressures. Many of these reforms, including the transfer of thousands of federal civil servants to the provinces, along with $2.5 billion annually, have occurred largely unnoticed by the public, or even recipients of services. Accountability measures have remained weak as the federal and provincial governments have few incentives to increase public scrutiny. In particular, transparency (making information available for public scrutiny) and justification (the provision of reasons for decisions) are inadequate. A more inclusive public accountability framework in the policy area needs to be developed that can support innovation in programs.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Analysis of accountability in Canadian federal-provincial labour market agreements; workforce development policy, not the research system.
The work studies accountability in labour market policy agreements, not research policy or research practice.
Public administration analysis of Canadian labour-market agreement accountability; employment policy, not the research system.
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 | 0.021 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".