MétaCan
Menu
Back to cohort
Record W2922232205 · doi:10.25071/1705-1436.44

Organizing from the Maquiladoras to the University: Dialogue and Reflections Among Women Migrant and Maquiladora Workers in Mexico

2010· article· en· W2922232205 on OpenAlexvenueaboutno aff
Evelyn Encalada Grez

Bibliographic record

VenueJust Labour · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Labor Relations
Canadian institutionsnot available
Fundersnot available
KeywordsMigrant workersPolitical scienceSociologyEconomic growthEconomics

Abstract

fetched live from OpenAlex

n February researchers from the International Migration Research Centre (IMRC) participated in “the First Forum on International Migration and Transnational Studies” hosted by the “Benemérita Universidad Autónoma de Puebla” (BUAP) in the capital of the state of Puebla in Mexico. This forum was part of a joint initiative with the centre through a Department of Foreign Affairs and International Trade (DFAIT) “North American Research Linkages” grant. The forum convened researchers from all over Mexico, as well as Europe, Canada and the United States, to discuss points of interest in the ample field of transnational migration studies.\nThe IMRC sponsored a community mesa (round table) that bridged the divide between researchers and “the researched” that powerfully closed the forum. The community mesa in turn was organized by “Justice/Justicia for Migrant Workers” (J4MW) and the “Centro de Apoyo al Trabajador,” Puebla (known as el CAT in Spanish) by bringing together women from the Seasonal Agricultural Workers Program (SAWP) and women maquiladora workers in the auto-parts industry along with activists from grassroots organizations for much needed dialogue and reflection. This community mesa attests to the longstanding transnational work and networks established by J4MW in Mexico and Canada. These spaces and exchanges are crucial to building new alliances and strengthening movements for transnational change. They also speak to the importance of activist based scholarship that seeks to democratize academic spaces with the voices and representations of the very people and movements that inspire our academic and political commitments.\nFrom the onset, it may appear that women migrant farm workers to Canada and maquiladora workers in Puebla and Tlaxcala, Mexico, have little in common. Yet both groups of women are integrated in the global economy through their work as transnational/internal migrant workers bound to foreign capital. Moreover, it could be argued that women in the SAWP work in rural spaces that function like agricultural maquiladoras, with lax labour laws and an absentee state favouring employers, profit and industry over the labour and human rights of workers. The women share hardships from their low income working class status and vulnerabilities that render them disposable to employers. Furthermore, the women have similar work and life trajectories. Many women in the SAWP have worked in maquiladoras, and many in the maquiladora industry—whether in textiles, electronics or auto parts - are internal migrants from diverse regions within Mexico and at some point in their lives become transnational migrants to mostly the US and some to Canada. Essentially, they live and work in the same place; in this instance in Puebla and Tlaxcala. They work in maquiladoras in one form or the other. And most importantly, both groups of women face serious reprisals and repercussions when they organize themselves and resist unfair labour practices. After their testimonies and reflections, any remaining differences faded with powerful intersecting commonalities among maquiladora and migrant women farm workers.

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)0.007
metaresearch head score (Gemma)0.009
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.131

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0360.011
Scholarly communication0.0090.005
Open science0.0020.010
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0040.000

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 head0.018
GPT teacher head0.285
Teacher spread0.266 · 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

Citations1
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueJust LabourSame topicEducation and Labor RelationsFrench-language works237,207