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Global Youth Migration and Gendered Modalities

2019· book· en· W4240308181 on OpenAlexaboutno aff

Bibliographic record

VenuePolicy Press eBooks · 2019
Typebook
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationGender studiesModalitiesPower (physics)Multidisciplinary approachGender relationsPolitical scienceLimitingIntersection (aeronautics)SociologyGeographySocial science

Abstract

fetched live from OpenAlex

Gender is a factor of youth migration; it shapes the roles, capacities, access to resources, and cultural expectations in society. Gender defines who leaves and who stays behind in the place of origin, or the extent from which the youth travels outside of their own communities. This collection is possibly the first to present the intersection of gender and youth migration with encompassing themes related to imperial histories, negotiating identities, education, and work using diverse studies in Canada, France, Hungary, Bangladesh, Turkey, Italy, Albania, Ethiopia, U.K. and the U.S. Gendered modalities suggest that there are particular ways or modes in which gender as a system of power relations become manifest in youth migration, either voluntarily or coerced, and consequently, their negotiation of structures and limiting social practices.Gender and youth are intrinsically connected to migration, and this book is about these connections in multidisciplinary perspectives in an increasingly globalized world.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.006
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.055
GPT teacher head0.320
Teacher spread0.265 · 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

Citations10
Published2019
Admission routes1
Has abstractyes

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