Representação: construindo as diferenças em Rocks at Whiskey Trench
Bibliographic record
Abstract
Resumo: Este artigo analisa o documentario Rocks at Whiskey Trench dirigido por Alanis Obomsawin. Produzido como parte da “Oka series”, foi mais um dos documentarios da diretora dedicado ao evento conhecido como “O conflito de Oka”, no qual, populacoes nativas de Kanehsatake e Kahnawake se embateram com o Estado canadense. A partir de questionamentos pertinentes a historiografia contemporânea, esse resultado de pesquisa empenha-se sobre o conceito de representacao no filme documentario e flexiona a respeito da constituicao de identidade. Procurando arguir a respeito das dimensoes discursivas do documentario, busca-se refletir acerca das relacoes entre a producao audiovisual e a escrita de historia. Palavras-Chave: Cinema; Documentario; Historia; Alanis Obomsawin; Canada; Representacao. Representation: Constructing the differences in Rocks at Whiskey Trench Abstract: This paper analyzes the documentary Rocks at Whiskey Trench directed by Alanis Obomsawin. Produced as part of the series, it was one of the documentaries about the event known as The Oka Crisis in which native populations of Kanehsatake and Kahnawake clashed with the Canadian State. Starting from relevant questions pertaining contemporary historiography, this research focuses on the concept of representation within the documentary and on the formation of identity. Arguing about the discursive dimensions of the documentary, we aim to reflect upon the relationship between audiovisual production and the writing of history. Keywords: Cinema; Documentary; History; Alanis Obomsawin; Canada; Representation.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".