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Record W3174040964 · doi:10.1111/cag.12701

Le droit à la ville ou le droit à la mobilité? Les demandeurs d'asile d'Amérique centrale en attente dans l'espace urbain <i>tijuanense</i>

2021· article· fr· W3174040964 on OpenAlexafffundvenue
Guillermo Candiz, Tanya Basok

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of WindsorUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPolitical scienceHumanitiesSociologyArt

Abstract

fetched live from OpenAlex

Des recherches récentes ont montré que les migrant‐e‐s disposent du potentiel pour remettre en question les pratiques qui limitent leur mobilité et compromettent leur sécurité et leur bien‐être. Les chercheur‐e‐s travaillant sur le paradigme du droit à la ville et adoptant une approche critique sur la citoyenneté ont constaté que les migrant‐e‐s revendiquent leur citoyenneté (par exemple, un statut juridique ou des revendications formelles et informelles de protection, d'espace, de reconnaissance et de participation à la ville). Au même moment, les chercheur‐e‐s œuvrant dans le cadre de l'approche de l'autonomie des migrations ont attiré l'attention sur la détermination inébranlable des migrant‐e‐s à franchir les frontières malgré les obstacles. Conceptualisant ces deux types d'actions comme des « actes de citoyenneté » et des « actes de mobilité », nous analysons leur relation dans cet article. En nous basant sur notre travail de terrain auprès de demandeurs d'asile d'Amérique centrale durant l'été 2019 dans la ville de Tijuana, au Mexique, nous démontrons que les migrant‐e‐s sont obligées de choisir entre poursuivre leurs rêves de mobilité vers les États‐Unis ou revendiquer la citoyenneté dans la ville frontalière de Tijuana.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.006
GPT teacher head0.202
Teacher spread0.196 · 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

Citations2
Published2021
Admission routes3
Has abstractyes

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