Bibliographic record
Abstract
As a work in progress, the Tribesourcing Southwest Film Project seeks to decolonize midcentury US educational films about the Native peoples of the Southwestern United States by recording counter-narrations from cultural insiders. These films originate from the American Indian Film Gallery, a collection awarded to the University of Arizona (UA) in 2011. Made in the mid-twentieth century for the US K–12 educational and television markets, these 16 mm Kodachrome films reflect mainstream cultural attitudes of the day. The fully saturated-color visual narratives are for the most part quite remarkable, although the male "voice of God" narration often pronounces meaning that is inaccurate or disrespectful. At this historical distance, many of these films have come to be understood by both Native community insiders and outside scholars as documentation of cultural practices and lifeways—and, indeed, languages—that are receding as practitioners and speakers pass on. The Tribesourcingfilm.com project seeks to rebalance the historical record through collaborative digital intervention, intentionally shifting emphasis from external perceptions of Native peoples to the voices, knowledges, and languages of the peoples represented in the films by participatory recording of new narrations for the films. Native narrators record new narrations for the films, actively decolonizing this collection and performing information redress through the merger of vintage visuals and new audio.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.036 | 0.005 |
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".