Review of <i> 'Pictures Bring Us Messages' / Sinaakssiiksi aohtsimaahpihkookiyaawa: Photographs and Histories from the Kainai Nation</i> by Alison K. Brown and Laura Peers with members of the Kainai Nation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In August 1925, University of Oxford anthropologist Beatrice Blackwood spent two days on the Blood Reserve in southern Alberta, home to the Kainai Nation. Assisted by the Indian Agent, she toured the reserve and took 33 photographs. Blackwood was investigating potential links among "race," culture, and environment, and some of her photographs were anthropometric in nature. Others, showing men working in fields or girls at residential school, portrayed a culture in transition. Upon her return to Britain, Blackwood deposited the Kainai photographs with Oxford's Pitt Rivers Museum.
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.
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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it