El niño soñado de un jefe nisga’a del Dr. Jose Refugio Arellano Sanchez
Bibliographic record
Abstract
El Doctor Arellano en su articulo nos comparte una experiencia muy interesante que vivio pocos dias de que su Estancia de Investigacion en Canada terminara y era acerca de Primeras Naciones, su interes se centraba mas en “La Construccion actual del Sujeto Social aborigen en Canada”. y habia logrado percibir a dos grandes figuras a George Manuel y Frank Calder considerandolos solo actores historicos, en una platica que tuvo con un Padre Anglicano de nombre John Hanna que varios anos ya habia vivido en Brithis Columbia hablaba de sus experiencias con los indigenas Nis ga´a y posteriormente comenzo a platicar del Caso Calder fue asi como el Dr. Arellano en cuanto se pudo le realizo una entrevista al Dr. Frank Calder, surgiendo una oportunidad de ir mas alla de la vida de un personaje que ha dejado huella imborrable en las memorias de los que habitan el la Brithis Columbia y por que no en el mundo entero.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.011 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".