Bibliographic record
Abstract
Citation (2012), "Editorial Advisory Board", Polachek, S.W. and Tatsiramos, K. (Ed.) Research in Labor Economics (Research in Labor Economics, Vol. 36), Emerald Group Publishing Limited, Bingley, p. ix. https://doi.org/10.1108/S0147-9121(2012)0000036003 Publisher: Emerald Group Publishing Limited Copyright © 2012, Emerald Group Publishing Limited Book Chapters Research in Labor Economics Research in Labor Economics Research in Labor Economics Copyright Page List of Contributors Editorial Advisory Board Preface Institutions, Technological Change and Wage Differentials between Skilled and Unskilled Workers: Theory and Evidence from Europe Career and Wage Dynamics: Evidence from Linked Employer-Employee Data Position-Specific Promotion Rates and the “Fast Track” Effect The Effect of Variable Pay Schemes on Workplace Absenteeism Adverse Selection and Incentives in an Early Retirement Program The Mental Cost of Pension Loss: The Experience of Russia's Pensioners during Transition Can Long-Term Cohabiting and Marital Unions be Incentivized? Indian Entrepreneurial Success in the United States, Canada, and the United Kingdom
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 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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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; both teacher heads agree on what is shown here.
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".