ACERCA DOS PROCESSOS DE INDIGENIZAÇÃO DOS MUSEUS: UMA ANÁLISE COMPARATIVA
Bibliographic record
Abstract
A partir de uma leitura comparativa sobre a agência indígena no Museu Magüta (primeiro museu indígena do Brasil, pertencente ao povo Ticuna, localizado em Benjamin Constant, Amazonas) e nas mostras do povo Musqueam no Museu de Antropologia da University of British Columbia (pioneiro na implementação do trabalho colaborativo com os povos indígenas, localizado em Vancouver, Canadá), este trabalho aborda modalidades coexistentes da chamada indigenização dos museus. Interessa-me distinguir as epistemologias e as políticas envolvidas na construção dos conteúdos indígenas desses espaços e sua autorrepresentação, problematizando a expressão "indigenização dos museus" e refletindo, ao mesmo tempo, sobre aquilo que se reconstrói, em termos dos cenários museológicos, após as situações coloniais
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.013 |
| Science and technology studies | 0.008 | 0.020 |
| Scholarly communication | 0.015 | 0.012 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".