Bibliographic record
Abstract
The industrial relations system at Magna International is an example of an integrated, coherent, non-union human resource management strategy. It includes significant mechanisms of worker voice and conflict resolution as substitutes for union representation. Potential labour-management conflicts associated with Taylorized labour processes are often translated into group problem-solving. Redistributive conflicts are re-framed as mutual gains through profit-sharing. Corporate communications promote an ethos of competitiveness. Individualized pay and promotion schemes, segmented internal labour markets, and the exposure of individual plants to competitive pressures, promote cultures of labour cooperation in the pursuit of productivity gains. The success of this union avoidance model is situated in a context of the erosion of unionized labour relations, the disciplinary effects of precarious labour markets, and the vulnerability of workplaces to transnational competitive forces. Continued success is predicated on Magna’s ability to survive sectoral and macroeconomic restructuring forces which are, in large measure, beyond management’s control.
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 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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.016 |
| Scholarly communication | 0.018 | 0.011 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".