Bibliographic record
Abstract
We focus on one particular pillar of the public retirement income network in Canada, namely, receipt outcomes of the Guaranteed Income Supplement (GIS) regime. This empirical analysis is carried out in a dynamic framework. We address the extent to which individuals enter the state of GIS receipt at various ages as well as the extent to which individuals who receive GIS benefits at the earliest age of eligibility subsequently exit the regime. We first measure these transition rates, and then we focus our analysis primarily on the impact of three attributes of recipients: changes in marital status, entry cohort, and current age. The econometric equations include simple transition models of both entries and exits, as well as hazard models of the probability of exit. Among our many empirical findings is a non-trivial incidence of delayed entry into the regime as well as exit from the regime conditional on prior receipt of benefits. Women who transit from married to single status are more likely to enter, but the opposite finding is discerned for men. The hazard model for the risk of exiting the GIS regime conditioned on the duration of the ongoing spell of receipt reveals a sharp pattern of negative duration dependence.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".