MétaCan
Menu
Back to cohort
Record W1973253003 · doi:10.4000/vertigo.2441

Environnement et migration : les difficultés d'une communauté rurale andine (El Terrado, Potosi, Bolivie)

2005· article· fr· W1973253003 on OpenAlexvenueno aff
Marie-Laetitia Guilbert

Bibliographic record

VenueVertigO · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

A 3 000 mètres d'altitude, entre Sucre et Potosi, El Terrado est une petite communauté paysanne quechua de 80 familles. En général, les récoltes sont insuffisantes pour que les familles puissent se nourrir toute l'année, et il n'existe pas non plus d’autre de source de travail. Ainsi, pour faire face, les hommes émigrent de trois à six mois par an, pour les récoltes de canne à sucre et de coton dans la région de Santa Cruz de la Sierra. Face à une telle contrainte, les habitants ne veulent pourtant pas quitter leurs terres et leur communauté. Depuis quatre ans, ils disposent de l'électricité et ont nettement amélioré leurs ressources en eau par la construction d’un barrage, de réservoirs et de puits. Ils ont également mis en place un poste de santé et construit une maison communale, ainsi que des ateliers de travail. Cependant aujourd’hui, malgré toutes ces nouvelles infrastructures, l’émigration reste une stratégie de survie. Il faut ainsi mettre en évidence la relation qu’entretiennent les membres de cette communauté rurale andine avec leur environnement et leurs possibilités de développement.

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)0.001
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: Empirical
Teacher disagreement score0.309
Threshold uncertainty score0.614

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.311
Teacher spread0.282 · 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

Citations4
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueVertigOSame topicMigration, Identity, and HealthFrench-language works237,207