A Critical Analysis of Apprenticeship Programs in British Columbia
Bibliographic record
Abstract
This study examines issues surrounding apprenticeships in the construction industry in British Columbia (BC) during the period of 1993 to 2004, particularly the state of the social settlement amongst its primary stakeholders, namely the government, unionized and non-unionized employment associations and postsecondary colleges.It provides a conceptual framework to research apprenticeships as a skills ecosystem, and to explain why successive provincial governments were motivated to impose significant legislative changes on the vocational education and training system.The findings not only examine the motivation, but also the resulting outcomes, using the different political ideologies as a basis to explain how contrasting stakeholder perspectives shaped both.Based on a combination of structure and agency, the primary stakeholders operated within the confines of institutional structures, extant logics and the limitations of their own perspectives and objectives.This thesis examines how the relationships between apprenticeships, the labour market and the post-secondary education system are coordinated, governed, influenced and shaped in BC, as well as how these same relationships have evolved, including the impact of such changes on apprenticeship programs as a skills ecosystem.The period of 1993 to 2004 was specifically chosen as it was a period of bold political reforms pertaining to trades training within the province by two ideologically opposed political parties.The research design applies a case study
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.017 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".