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From Working Tax Credit to Universal Credit: is the older workforce ready? Perspectives from employees and employers in Northern Ireland

2021· article· en· W3184963326 on OpenAlexaboutno aff
Ciara Fitzpatrick, Alexandra Chapman

Bibliographic record

VenueJournal of Poverty and Social Justice · 2021
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsnot available
Fundersnot available
KeywordsConditionalityWorkforceReceiptWork (physics)WelfareLabour economicsQuarter (Canadian coin)Tax creditBusinessDemographic economicsEconomicsEconomic growthPolitical scienceAccountingPublic economics

Abstract

fetched live from OpenAlex

Universal Credit (UC) entails an unprecedented expansion of welfare conditionality to those in work. Working-age adults (16–66) in the United Kingdom who are working part-time and on a low income will be subject to work related requirements until they earn the equivalent of 35 hours per week at national living wage. It is estimated that workers aged 50 to 66 will account for nearly a quarter of those claimants subject to in-work conditionality. A small-scale qualitative study was carried out with workers aged over 50 in receipt of Working Tax Credit (WTC) who are set to be migrated to UC. The researchers also interviewed employers who have people over 50 in their workforce. The findings show that there was limited awareness of UC and little support for in-work conditionality.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0100.008
Scholarly communication0.0080.005
Open science0.0020.008
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.042
GPT teacher head0.349
Teacher spread0.307 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2021
Admission routes1
Has abstractyes

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