MétaCan
Menu
Back to cohort
Record W4327853306 · doi:10.4000/cal.14896

Inégalités et pandémie dans les communautés autochtones au Paraguay

2022· article· fr· W4327853306 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.

Bibliographic record

VenueCahiers des Amériques latines · 2022
Typearticle
Languagefr
FieldHealth Professions
TopicIndigenous Health and Education
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPolitical scienceHumanitiesCoronavirus disease 2019 (COVID-19)ArtInfectious disease (medical specialty)Medicine

Abstract

fetched live from OpenAlex

Cet article propose une réflexion sur les mesures instaurées par le Paraguay pour répondre à la crise sanitaire liée à la pandémie de Covid-19, entre mars et décembre 2020, en problématisant leur impact sur les communautés autochtones. Partant d’une historicisation des origines des inégalités, nous montrons que la marginalisation vécue actuellement par les communautés autochtones paraguayennes s’inscrit dans une continuité historique et institutionnelle qui résulte d’une logique de dépossession des autochtones et de leur territoire. L’interaction entre les conditions structurelles antérieures et les choix politiques émanant de la lutte contre la Covid-19 n’a pas abouti à un changement des rapports au niveau institutionnel. Au Paraguay, la crise sanitaire sans précédent et les réponses gouvernementales ont au contraire accéléré les trajectoires préexistantes affectant les communautés autochtones, renforçant la continuité institutionnelle de la formulation des politiques publiques à leur égard.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0130.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.004
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 head0.107
GPT teacher head0.420
Teacher spread0.312 · 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