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Record W4297989412 · doi:10.1111/anti.12880

Navigating Wait Space in Uncertain Times: Young Women and Precarious Labour in Turkey

2022· article· en· W4297989412 on OpenAlexaff
Hilal Kara, Beverley Mullings

Bibliographic record

VenueAntipode · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of TorontoQueen's University
Fundersnot available
KeywordsUnemploymentPoliticsCredibilityFutures contractWork (physics)Space (punctuation)State (computer science)SociologyYouth unemploymentWageGender studiesLabour economicsDemographic economicsEconomicsPolitical scienceEconomic growthLaw

Abstract

fetched live from OpenAlex

Abstract Despite dramatic increases in university graduates over the last 30 years, unemployment rates among youth with advanced education in Turkey remain some of the highest in the world. With levels of unemployment among university graduates almost equal that of high school graduates, the promise of social mobility and formal waged work that higher education once promised, no longer holds credibility. Many young people, instead find themselves in waithood—a state characterised by uncertainty, joblessness, and obstacles to independent adulthood. Studies tend to view waithood temporally as a period of indeterminacy and frustrated futures, but we argue, waithood also encompasses spatial dimensions that are liberatory in so far as they communicate a demand for a liveable life. Examining how young women in Turkey navigate both the state’s conservative politics, and restricted employment opportunities, we use the term “wait space” to capture what an attentiveness to the intimate connection between space and time and work offers to our understanding of the politics and possibilities of work beyond the wage.

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)0.000
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 score0.340
Threshold uncertainty score0.993

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 studies0.0000.000
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 head0.015
GPT teacher head0.227
Teacher spread0.212 · 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

Citations7
Published2022
Admission routes1
Has abstractyes

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