Who's on Secondary?: The Impact of Temporary Foreign Workers on Alberta Construction Employment Patterns
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
The Canadian province of Alberta suffers from recurring labour shortages caused by its unstable resource economy. Alberta has historically relied upon interprovincial migrant workers to meet demand during “boom” periods. Between 2003 and 2013, the availability of interprovincial migrants was inadequate to meet overall demand for workers. Alberta’s construction industry and the provincial government sought to recruit workers from groups they defined as underrepresented, such as women and Indigenous peoples, to address this shortage. At the same time, the federal government altered its long-standing Temporary Foreign Worker Program (tfwp) to enable employers to hire an increasing number of international migrant workers. Alberta employers were among the most enthusiastic users of temporary foreign \nworkers (tfws).5 The effect of tfws on how employers approach recruitment and retention of traditionally marginalized groups has not been extensively studied.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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