Bibliographic record
Abstract
Contents: Introduction Is age discrimination really age discrimination? The ADEA's unnatural solution, Samuel Issacharoff and Erica Worth Harris Hands-tying and the Age Discrimination in Employment Act, Christine Jolls Why is there mandatory retirement?, Edward P. Lazear From race to age: the expanding scope of employment discrimination law, George Rutherglen Life-cycle justice: accommodating just cause and employment at will, Stewart J. Schwab Decent work, older workers and vulnerability in the economic recession: a comparative study of Australia, the United Kingdom and the United States, Susan Bisom-Rapp, Andrew Frazer and Malcolm Sargeant The aging of the American workforce, Sara E. Rix Age discrimination in United States labor markets: a review of the evidence, Scott J. Adams and David Neumark A gap in the agenda: enhancing the regulation of age discrimination in employment, Michael C. Harper International comparison of age discrimination laws, Joanna N. Lahey A softly greying nation: law, ageing and policy in Canada, Charmaine Spencer and Ann Soden The amendment of the Employment Measure Act: Japanese anti-age discrimination law, Ryoko Sakuraba Age discrimination and the European Court of Justice: EU equality law comes of age, Colm Oa (TM)Cinneide The new UK retirement regime: employment law and pensions, Claire Kilpatrick Name index.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".