Fighting precarious work with institutional power: Union inclusion and its limits across spheres of action
Bibliographic record
Abstract
Abstract Research shows that union inclusion is critical to resisting precariousness, yet the role of institutional power is not adequately addressed. Through an investigation of eight retailers in four countries, this study uniquely examines how inclusive union strategies, cost competition and institutional power interact in different ‘spheres of action’. In the product market sphere, unions struggle to prevent labour cost competition between firms from eroding working conditions. In the production sphere, unions struggle to prevent labour cost competition between workers in a single firm from eroding working conditions. This article finds that multi‐level sources of institutional power are a precursor to effective union inclusion and articulating action towards threats from cost competition. I thereby argue that union efforts to resist precarious work are contingent on access to power from institutions. The article concludes with reflections on how institutional power relates to other forms of power.
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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 | 0.015 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.077 |
| Scholarly communication | 0.020 | 0.010 |
| Open science | 0.002 | 0.021 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".