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Record W3195035585 · doi:10.53368/ep61fcrr03

La cordillera de los Andes no es frontera. Cuerpos-territorios y medicina ancestral mapuche en contexto de pandemia

2021· article· en· W3195035585 on OpenAlexaff
Daiana Elisa Melón, Florencia Yanniello

Bibliographic record

VenueEcología Política Cuadernos de debate internacional · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Education, Indigenous Social Dynamics
Canadian institutionsNetwork for Business Sustainability
Fundersnot available
KeywordsIndigenousGeographyEthnologyPoliticsPandemicEthnic groupPolitical scienceHumanitiesSocioeconomicsCoronavirus disease 2019 (COVID-19)SociologyAnthropologyMedicineEcology

Abstract

fetched live from OpenAlex

The article analyzes the campaign «La Cordillera No Es Frontera», promoted by the Indigenous Women’s Movement for Good Living due to the situation of the machi (Mapuche health authority) Mawün Jones, from Ngulumapu (current Chilean territory), who crossed the Andes Mountain range to assist patients in Puelmapu (current Argentinian territory), and was stranded due to the isolation measures decreed because of the COVID-19 pandemic. This campaign fostered the machi´s return to her territory and also a debate on the political limits imposed by the Argentine and Chilean States on Mapuche territory and the logic of social control over indigenous women. We propose to reflect on the mountain chain as a political border, as well as a geographical, symbolic, and physical border. This implies reviewing the decisions of the States that affect people who experience ethnic and gender inequalities, and who also practice unrecognized forms of medicine.

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)0.000
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 score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.004
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.020
GPT teacher head0.355
Teacher spread0.335 · 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
Published2021
Admission routes1
Has abstractyes

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Same venueEcología Política Cuadernos de debate internacionalSame topicMigration, Education, Indigenous Social DynamicsFrench-language works237,207