The Effects of National Institutions and Collective Bargaining Arrangements on Job Quality in Front-Line Service Workplaces
Bibliographic record
Abstract
This paper analyzes the relationships among national institutions, collective bargaining arrangements, and job quality in call center workplaces, using establishment-level survey data obtained in 2003–2006 in five European coordinated market economies (CMEs) (Austria, Denmark, France, Germany, and Sweden) and three liberal market economies (LMEs) (Canada, the United States, and the United Kingdom). Overall, the authors find lower dismissal rates, more use of high-involvement management practices, and less performance monitoring in the CMEs, consistent with the notion that national institutions can influence employment practices even in more poorly regulated service workplaces. However, workplace-level collective bargaining arrangements and in-house (compared to outsourced) status also were associated with significantly higher measures of job quality across countries. Findings suggest that within CMEs, dual union/works council representation continues to provide important support for job security, participation, and discretion, but that outsourcing can effect a partial escape from this institution.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".