Bibliographic record
Abstract
The articles in this volume were part of a workshop on globalization and service work that took place at the Peter Wall Institute for Advanced Studies at the University of British Columbia in Vancouver, Canada. In attendance were scholars with an interest these questions and with interdisciplinary perspectives and diversity with respect to their countries of study.Participants came from Canada, the United States, the United Kingdom, China, South Korea, and Australia and were at various points in their academic careers. A broad array of disciplines were represented, including geography, industrial relations, anthropology, sociology, law, gender studies, and human resource management. The scope of industries studied consisted of health care, call centers, hotels, and restau-rants, and the countries studied included India, China, Africa, Canada, the United States, South Korea, and Australia. Ron Hira from the Rochester Institute of Technology, a leading expert on outsourcing, was the keynote speaker for the workshop, and Steven Frenkel from the Australian School of Business, a leading expert on the service work-force, concluded the workshop by identifying the themes that emerged from the pre-sentations and discussions.This special issue of the
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| 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".