Anthropology and the Engaged Observer. A Review of (eds.) V. Sanford & A. Angel-Ajani's Engaged Observer: Anthropology, Advocacy, and Activism (New Brunswick: Rutgers UP, 2006)
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
Engaged Observer focuses on the discipline of anthropology, and I am not an anthropologist. Yet the book spoke to me in many ways, and I learned greatly from reading it. As in many edited volumes, the book’s strengths lie in the diversity of its contributions. Most are thoughtful, thought-provoking pieces of scholarship that directly explore questions raised in the foreword and introduction: What is the role of advocacy in research? To whom do the anthropologist’s primary commitments lie? What is the role of truth, and justice, and power, in scholarly work? Drawing on research conducted around the globe among settings where human rights are endemically violated, the contributions to this volume are powerful examples of compassionate scholarship by leading anthropologists.
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 | 0.018 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.008 | 0.017 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.003 | 0.010 |
| 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