MétaCan
Menu
Back to cohort

Naturaleza, territorio y la mirada viajera

2024· article· es· W4404892060 on OpenAlexaboutno aff
Natalia Moller González

Bibliographic record

VenueInterfaces Brasil/Canadá · 2024
Typearticle
Languagees
FieldSocial Sciences
TopicUrbanism, Landscape, and Tourism Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

El artículo analiza la forma en que películas realizadas por indígenas en el Ártico canadiense y la Amazonía brasileña intervienen las formas canónicas de representación de sus paisajes, especialmente aquellas alojadas en la noción de terra nullius o “tierra sin dueño” que produjeron y afianzaron los Estados nacionales en continuidad con imaginarios coloniales. El artículo pregunta, primero, por la forma en que ambas regiones fueron integradas simbólicamente al relato nacional en los albores de las formaciones republicanas. Para ello, revisa tanto escritos como obras fotográficas, fílmicas y pictóricas de viajeros que fueron enviados por los Estados nacionales canadiense y brasileño, al Ártico y a la Amazonía. Finalmente, propone que los cines indígenas responden a estas imágenes dominantes poniendo en escena “estéticas del habitar”, que desmienten la idea de un Ártico y una Amazonía vacíos, para articular argumentos estético-políticos que respaldan las demandas de soberanía y potestad sobre el territorio. Para ello, se analizan varias películas realizadas por la productora Igloolik Isuma en Nunavut, Canadá, y la organización Video nas aldeias en Brasil.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.947
Threshold uncertainty score0.105

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 studies0.0030.007
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.010
GPT teacher head0.301
Teacher spread0.290 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueInterfaces Brasil/CanadáSame topicUrbanism, Landscape, and Tourism StudiesFrench-language works237,207