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Record W1503347400 · doi:10.1177/001979391006300201

The Long-Term Effects of Unemployment Insurance: Evidence from New Brunswick and Maine, 1940–1991

2010· article· en· W1503347400 on OpenAlex
Peter Kuhn, Chris Riddell

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIndustrial and Labor Relations Review · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLabor market dynamics and wage inequality
Canadian institutionsnot available
Fundersnot available
KeywordsGenerosityUnemploymentDemographic economicsDistribution (mathematics)EconomicsDemographyLabour economicsPolitical scienceEconomic growthSociology

Abstract

fetched live from OpenAlex

Using data spanning half a century for adjacent jurisdictions in the United States and Canada, the authors study the long-term effects of a generous unemployment insurance (UI) program on the distribution of weeks worked. They find substantial effects. For example, in 1990, about 12.6% of working-age men in Maine's northernmost counties worked between 1 and 39 weeks; just across the border in New Brunswick, the figure was 25.6%. According to the estimates, New Brunswick's much more generous UI system accounts for more than three-fourths of this differential. In part because part-year workers are drawn from both ends of the distribution of annual weeks worked (0 weeks and 40–52 weeks), the generosity of New Brunswick's program had only modest estimated effects on total labor supply, even as it substantially increased UI program participation and expenditures.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.452

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.038
GPT teacher head0.264
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it