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Record W3179770482 · doi:10.18357/ijcyfs122202120235

“(IM)MOBILE PRECARITY” AMONG YOUNG PEOPLE IN NEWFOUNDLAND AND LABRADOR

2021· article· en· W3179770482 on OpenAlexafffundvenueabout
Nicole Gerarda Power

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsMemorial University of Newfoundland
FundersMemorial University of NewfoundlandResearch and Development Corporation of Newfoundland and LabradorDalhousie University
KeywordsPrecarityForegroundingContext (archaeology)SociologyGender studiesPrecarious workFinancial independenceLife course approachYouth studiesYouth workPolitical scienceWork (physics)Social psychologyGeographyPublic relationsPsychology

Abstract

fetched live from OpenAlex

Mobility for work and education among young people has been a key feature of contemporary life. Drawing on focus groups with youth living in the Canadian province of Newfoundland and Labrador, as well as key informant interviews with people who work for community-based organizations that serve youth, I examine the relationship between young people’s employment- and education-related geographical mobilities and precarity. I draw on recent insights from scholars examining precarity as grounded in both labouring conditions and ontological experience. In foregrounding the experiences and subjectivities of poor and working-class youth, I show how the structure of youth labour markets and of education and training cheapens youth labour, with implications for youth’s capacity for independence. In a context of broader regimes of mobility associated with resource extraction, young people without formal qualifications live precarious lives: they move from job to job and place to place, and rely on family and friends to support their housing and other needs. In this context of uncertainty and labour market volatility, youth expressed disorientation regarding decisions about work, education, and mobility, reflecting the high stakes of not making the “right” choice, and developed a pragmatic approach to work as a way to make a living rather than a pathway to a meaningful life. I conclude by situating these findings as a critique not just of precarity but of capitalist economic arrangements more broadly, with implications for the kinds of solutions that can address structural class inequalities.

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)0.000
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 score0.021
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.021
GPT teacher head0.319
Teacher spread0.298 · 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

Citations2
Published2021
Admission routes4
Has abstractyes

Explore more

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