Social Security Programs and Retirement Around the World: The Relationship to Youth Employment, Introduction and Summary
Bibliographic record
Abstract
This is the introduction and summary to the fourth phase of an ongoing project on Social Security Programs and Retirement Around the World.The first phase described the retirement incentives inherent in plan provisions and documented the strong relationship across countries between social security incentives to retire and the proportion of older persons out of the labor force.The second phase documented the large effects that changing plan provisions would have on the labor force participation of older workers.The third phase demonstrated the consequent fiscal implications that extending labor force participation would have on net program costs-reducing government social security benefit payments and increasing government tax revenues.This volume presents the results of analyses of the relationship between the labor force participation of older persons and the labor force participation of younger persons in twelve countries.Why countries introduced plan provisions that encouraged older persons to leave the labor force is unclear.After the fact, it is now often claimed that these provisions were introduced to provide more jobs for the young, assuming that fewer older persons in the labor force would open up more job opportunities for the young.Now, the same reasoning is often used to argue against efforts in the same countries to reduce or eliminate the incentives for older persons to leave the labor force, claiming that the consequent increase in the employment of older person would reduce the employment of younger persons.The validity of such claims is addressed in this volume.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".