<scp>J</scp>ack (and <scp>J</scp>ill?) of All Trades – A <scp>C</scp>anadian Case Study of Equity in Apprenticeship Supports
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract In the past decade, C anadian federal and provincial governments have designed programmes to facilitate entry into trades in an attempt to stimulate economic growth. As part of these efforts, increasing attention is focusing on programmes to encourage women to enter skilled trades, while paying little attention to those trades traditionally dominated by females. In this article, we explore the gendered dimensions of apprenticeship programmes in C anada, demonstrating the ways in which gender inequality is reproduced by programmes that situate employers and women as responsible for change. In particular, using a case study, we illustrate that the gendered structure of the labour market is preserved and reproduced. While efforts have targeted women to facilitate entry into non‐traditional occupations such as electricians and plumbers, female‐dominated trades such as hairstylists remain untouched, thereby sustaining the gendered wage structure of the economy. Thus women remain segregated in low‐paying trades and receive fewer public supports when pursuing training in these segregated trades. The article argues that apprenticeship training and certification is constructed to respond to the needs of male‐dominated trades, but not the needs of female‐dominated trades. Ultimately, the public policy decisions that make up the apprenticeship training and certification system in C anada reproduce gender inequality.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it