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(Not) Taking Account of Precarious Employment: Workfare Policies and Lone Mothers in Ontario and the UK

2007· article· en· W2045673669 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSocial Policy and Administration · 2007
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of CanadaUNICEF
KeywordsWorkfareLabour economicsPolitical scienceEconomicsDemographic economicsWelfareMarket economy

Abstract

fetched live from OpenAlex

Abstract Workfare is, at least in part, a policy response to changing labour markets and the expansion taking place in jobs that are low‐paid, irregular and insecure. For lone mothers, increasingly the focus of workfare policies, precarious employment creates special challenges. However, the nature of the jobs that are available to women on social assistance has received relatively little attention in the workfare literature, which focuses more on individual characteristics, supports to employment, and programme impacts. Drawing upon both primary and secondary sources and using Ontario, the province with the most developed workfare programme in Canada, this article examines the ways in which policies support and enforce precarious employment. The article also considers the implications of precarious employment for UK policy, which has not (yet) adopted workfare for lone mothers, although incremental steps in that direction are taking place as employment is increasingly viewed as the appropriate objective of income support programmes for lone mothers.

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)0.000
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 score0.444
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.065
GPT teacher head0.413
Teacher spread0.348 · 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