MétaCan
Menu
Back to cohort
Record W2152936555 · doi:10.18740/s4fs4b

The Excluded, the Vulnerable and the Reintegrated in a Neoliberal Era: Qualitative Dimensions of the Unemployment Experience.

2009· article· en· W2152936555 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSocialist studies · 2009
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of TorontoToronto Metropolitan University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsUnemploymentRestructuringVulnerability (computing)Sample (material)Labour economicsQualitative researchJob lossEconomicsStructural unemploymentSociologyDemographic economicsEconomic growthSocial science

Abstract

fetched live from OpenAlex

In this qualitative study, we examine the pathways to vulnerability created by structural unemployment. We focus on a sample of workers often neglected in unemployment studies, namely full-time workers who have held steady employment before job loss. Our sample consists of 29 Canadian workers, restructured from full-time employment and followed for two years. By investigating what happens to these workers we are able to gain valuable insight into the “lived experience” of structural job loss. Their stories describe pathways that lead to re-integration, but also expose pathways that result in heightened states of vulnerability and exclusion from the labour market. The paper concludes with a number of policy suggestions aimed at redressing some of the most negative effects of neoliberal labour market restructuring.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.002
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 head0.096
GPT teacher head0.483
Teacher spread0.387 · 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