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Record W2027182589 · doi:10.1111/1468-2435.00233

Mexican Seasonal Migration to Canada and Development: A Community‐based Comparison

2003· article· en· W2027182589 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Migration · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsAffect (linguistics)Perspective (graphical)Investment (military)Community developmentDemographic economicsGeographyEconomic growthDevelopment economicsSociologyPolitical scienceEconomics

Abstract

fetched live from OpenAlex

Summary The article explores development and migration. Based on a comparison of investment‐related behaviour of participants of the Canadian Mexican Seasonal Workers Programme from eleven Mexican villages, the article explores the impact of the nature of the migrants' community of origin on development. Contrary to the findings reported by the “new economics of labour migration” theorists, it was found that migrants from the least endowed communities, not from the best endowed communities, are likely to invest in agricultural land. This pattern is related to variable prices of land and the composition of the participants of the Canadian guest worker programme, most of whom are poor. The article draws attention to the importance of considering composition of migrant workers in an analysis of the impact of migration on community development. Development is analysed in the article from both the “growth” and the “quality of living” perspectives and it is found that regardless of the perspective used, the nature of the community does not affect the impact of migration on development.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.930
Threshold uncertainty score0.477

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 studies0.0010.000
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 head0.029
GPT teacher head0.309
Teacher spread0.280 · 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