How Institutions and Business Strategies Affect Wages: A Cross-National Study of Call Centers
Bibliographic record
Abstract
This paper, drawing on a 2003–2006 establishment-level survey of 1,819 call centers in 15 countries, examines effects of industrial relations institutions and employer strategies on wage variation across coordinated, liberal, and emerging market economies. The authors find several contradictory patterns, which confirm theoretical predictions for some countries and contradict them for others, suggesting diverse institutional reactions to the emergence of a new economic activity. Consistent with prior research, Denmark, France, and Sweden exhibit patterns of low wage dispersion and no union wage premium, and the United States, Canada, and emerging market economies exhibit quite high levels of dispersion. Contrary to prior research, Austria and Germany resemble the United States in their levels of wage dispersion, while the United Kingdom resembles the coordinated market group. Finally, employer strategies of outsourcing and market segmentation explain within-country wage variation in most countries, suggesting considerable flexibility in wage setting at the establishment level.
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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 | 0.001 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".