LongitudinaL Patterns of ParticiPation in the sociaL security disabiLity insurance and suPPLementaL security income Programs for PeoPLe with disabiLities
Bibliographic record
Abstract
Longitudinal access to disability benefits is affected by interactions in benefit eligibility between the Disability Insurance (DI) and Supplemental Security Income (SSI) programs and lags arising from processing time in receiving the first payment. Administrative records show that a quarter of the calendar year-2000 cohort of first-ever working-age disability awardees were involved with both programs over a 60-month period, indicating a higher degree of program interaction than apparent from cross-sectional data. Nonbeneficiary status is three times more prevalent 60 months after entry among those who entered SSI first compared with DI entrants, as a result of exits that are due to the SSI means test. Over half of new awardees qualifying for both DI and SSI benefits are eligible for SSI during 4 or 5 months of the 5-month DI waiting period, but many do not receive their first SSI payment until later because of lags in final award decisions.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".