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Record W3127566603 · doi:10.1111/irel.12269

Labor Markets in Crisis: The Double Liability of Low‐Wage Work During COVID‐19

2020· article· en· W3127566603 on OpenAlexafffundabout
Kourtney Koebel, Dionne Pohler

Bibliographic record

VenueIndustrial Relations A Journal of Economy and Society · 2020
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsThe Wilson CentreWorld Wildlife Fund CanadaUniversity of Toronto
FundersUniversity of Toronto
KeywordsEarningsCoronavirus disease 2019 (COVID-19)Distribution (mathematics)WageWork (physics)EconomicsLiabilityLabour economicsShutdownDemographic economicsMedicineFinance

Abstract

fetched live from OpenAlex

We adopt a novel identification strategy to examine the heterogeneous effects of Canada's COVID-19 economic shutdown on hours worked across the earnings distribution. Early labor-market analyses found that workers in the bottom of the earnings distribution experienced a much larger reduction in hours worked than workers in the top of the earnings distribution. Our analysis reveals a double liability of low-wage work during Canada's COVID-19 economic shutdown: while workers in every quintile experienced a large reduction in hours on average, significant increases in hours were only present among workers in the bottom quintile. Implications for crisis income supports are discussed.

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 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)0.001
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 score0.224
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.105
GPT teacher head0.365
Teacher spread0.260 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations16
Published2020
Admission routes3
Has abstractyes

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