<b>Saviors, "Sealfies," and Seals: Strategies for Self-Representation in Contemporary Inuit Films</b> // Salvadores, "sealfies" y focas: Estrategias de autorepresentación en películas inuit contemporáneas
Bibliographic record
Abstract
The legibility of the inter-relationships between human and seal is what is at stake when Inuit present themselves within administrative discourses at international assemblies in defense of their ontology and the right to hunt seals. In the language of administration and in the narrative practices of international animal rights, seals can only appear in a predetermined categorical framework for what constitutes human ethical responsibility to nature. The seal in animal rights discourse is one type of object that needs saving in the form of protective measures to keep her safe from the rapacious greed of capitalism. However, in Indigenous cultural practices, the seal is another relative, a relation whose presence makes all certainties about hierarchies, use-value, moral exemptions, and human exceptionalism impossible. Using the trending social media phenomenon of the “sealfie” and three contemporary northern Indigenous films, this essay argues that the Inuit use of these media formats showcases their cultural and economic dependence on seal hunting and restructures debates around authority, self-representation, and one-sided environmental protection activities. Resumen El entendimiento de las interrelaciones entre ser humano y foca está en juego cuando los Inuit usan el lenguaje institucional en foros internacionales para defender su realidad y el derecho a cazar focas. En el lenguaje administrativo y en las prácticas discursivas de los derechos internacionales de los animales, las focas únicamente pueden aparecer como un marco categórico predeterminado de lo que constituye la responsabilidad ética del ser humano con la naturaleza. La foca en el lenguaje de los derechos de los animales es un objeto que necesita salvarse mediante medidas protectoras que las salvaguarden de la avaricia agresiva del capitalismo. Sin embargo, en las prácticas culturales indígenas la foca es percibida como un familiar, un pariente cuya presencia hace imposible nuestra certitud sobre jerarquías, el valor de uso, la impunidad moral, y la excepcionalidad humana. Usando la moda de las redes sociales en auge, el “sealfie” y tres películas contemporáneas indígenas del Norte, este ensayo argumenta que los usos inuit de estos formatos mediáticos ponen de manifiesto su dependencia cultural y económica en la caza de focas, y reestructura debates en cuanto a la autoridad, la autorepresentación, y las actividades de protección medioambiental monodireccionales.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".