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Record W2327654668 · doi:10.3167/reco.2014.040103

Social cohesion beyond borders

2014· article· en· W2327654668 on OpenAlexaboutno aff
Angeles Mendoza Sammet

Bibliographic record

VenueRegions & Cohesion · 2014
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsCohesion (chemistry)IndigenousPolitical scienceWelfare economicsSociologyEconomics

Abstract

fetched live from OpenAlex

This contribution analyzes whether the transboundary use of mineral resources by Canadian companies contributes to local and regional cohesion. The analysis is based on documental reviews, a field visit, and conversations with stakeholders of Canadian mining projects in Mexico. The results strongly suggest that, despite the bene fits that are advertised in the discourses of the Canadian and Mexican governments, this economic relationship is not fostering social cohesion as would be expected. Rather than helping dispossessed sectors of Mexican society satisfy their basic needs, the lack of social responsibility on the part of national governments and some transnational mining companies is generating numerous environmental and social impacts and is resulting in violations of human and indigenous people's rights. This situation, however, is fostering social cohesion through shared values among dispossessed communities in Mexico, and between them and various civic, human rights, and environmental organizations in Canada. Spanish Esta contribución analiza de qué forma el desarrollo de recursos mineros en México por empresas canadienses influye en la cohesión social local y regionalmente. El análisis se basa en revisión documental, visitas de campo y conversaciones con informantes clave. Los resultados fuertemente sugieren que esta relación comercial no está contribuyendo a mejorar la cohesión social como sería de esperarse si la minería contribuyera al desarrollo sustentable según lo promocionan los gobiernos de México y Canadá. En vez de contribuir a reducir la pobreza, se han generado diversos impactos sociales y ambientales debido a la falta de responsabilidad social que prevalece en el sector minero. Estos incluyen violaciones de derechos humanos y gentes indígenas. Sin embargo, estas consecuencias negativas están favoreciendo la cohesión social entre las comunidades afectadas por la minería en México y las organizaciones civiles en Canadá que están ejerciendo presión en Canadá para que haya cambios en el sistema político y legal para asegurar que las empresas canadienses operen de manera social y ambientalmente responsable. French Ce e contribution entend voir de quelle manière l'utilisation transfrontalière des ressources minérales par des entreprises canadiennes contribuent à la cohésion locale et régionale. L'analyse se fonde sur l'examen des documents, une visite sur le terrain, et les interviews menées avec les parties prenantes des projets miniers canadiens au Mexique. Les résultats suggèrent fortement que, malgré les avantages formulés dans le discours des gouvernements canadien et mexicain, ce e relation économique ne conduit pas à la cohésion sociale comme on pourrait s'y attendre. Plutôt que d'aider les secteurs déshérités de la société mexicaine à satisfaire leurs besoins de base, le manque de responsabilité sociale de la part des deux gouvernements nationaux et certaines entreprises minières transnationales produit de nombreux impacts environnementaux et sociaux qui se traduisent par des violations des droits de l'homme des peuples indigènes. Ce e situation, cependant, favorise la cohésion sociale à travers des valeurs partagées entre les communautés dépossédées au Mexique, et entre eux et diff érentes organisations civiles défenseurs des droits de l'homme et environnementaux au Canada.

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)0.003
metaresearch head score (Gemma)0.008
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: none
Teacher disagreement score0.227
Threshold uncertainty score0.451

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0190.016
Scholarly communication0.0100.007
Open science0.0010.016
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.011
GPT teacher head0.230
Teacher spread0.219 · 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
Published2014
Admission routes1
Has abstractyes

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