Bibliographic record
Abstract
Distributed by epf media, 324 S. Beverly Drive, PMB 437, Beverly Hills, CA 90212; 310-839-1500Produced by Anne WorthingtonDirected by Anne Worthington2022, Streaming, 31 mins With a relatively short run time, this documentary delves into how the history of forced assimilation in Northern America still has ramifications for the decedents of Indian School survivors. Starting with the discovery in Canada of mass graves at the sites of former Indian Schools, this film follows how similar efforts to uncover the truth of what happened in American Indian schools. While the film itself is unable to answer many of the questions that it sets out to expose, it does highlight the challenge survivors and their families have faced in trying to find out what happened to the family members that never made it home. It provides an excellent opportunity for classroom discussion on this history, the practice of forced assimilation and how the effects are still being felt generations later. Awards:Best Short Documentary, LA Film Awards; Official Selection, American Indian Film Festival
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 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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.009 |
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; both teacher heads agree on what is shown here.
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".