Redes de distribución de caribú en Sheshatshiu, Labrador: una estrategia de modelización. En: Avá, nº 14
Bibliographic record
Abstract
La localidad de Sheshatshiu, en la península de Québec/Labrador, es uno de los \nasentamientos del pueblo Innu impulsados por el gobierno canadiense en los 1950s y 1960s. \nA pesar de la crisis alimentaria que la sedentarización forzada produjo, el caribú sigue \nconstituyendo una parte importante de la dieta y la cultura Innu. El objetivo de este trabajo \nes mostrar una estrategia de modelización de la distribución de caribú en Sheshatshiu. La \nmetodología seleccionada incluye tres pasos. El primer paso de modelización es el diseño de una base de datos con la información de distribución obtenida a partir de una encuesta en la que se relevaron 30 casas aleatoriamente y un subsiguiente muestreo “bola de nieve”. Luego, se usa el programa UCINET para determinar clusterización, conectividad y centralidad. El tercer y último paso es determinar el alcance la distribución de caribú a partir del análisis de los procedimientos previos.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
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".