Bibliographic record
Abstract
This article examines the changes in workplace-level industrial relations resulting from the recent and unprecedented labour shortages in Québec, a province of Canada. Findings are based on preliminary results of an ongoing study of private-sector industries that have been struggling with this phenomenon. Based on a keynote presentation delivered at the 2023 AIRAANZ conference held at Magnetic Island, Australia, the article provides an overview and initial discussion of the impact of labour shortages on industrial relations. The study revealed changes in the negotiation dynamics, outcomes, and actors’ behaviour in the industries affected by the shortages. The balance of bargaining power shifted in favour of workers and unions, helping them to secure significant gains in collective agreements, principally – but not entirely – related to wage increases. While a tight labour market puts employers at a disadvantage, it is not all ‘win-win’ for workers who may, in some cases, see their working conditions deteriorate. The same is true for unions, for whom shortages can pose problems related to succession, management of members’ expectations, solidarity among members, and relevance.
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.
How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".