Bibliographic record
Abstract
The image that the Western world drew for hunting and gathering societies is a double, but converging image. There are negative aspects such as brutality, ignorance, primitivness, childishness, uncivilised; and affirmative aspects of purity, innocence, of being one with nature. Either is set up as a foil to civilisation, and has been an integral part of the colonial stratagem to restrain and govern in every aspect of the life of the hunter and gathering societies. However, in recent years, hunting and gathering societies are re-forming or creating self-images suited to betterment of their socio-political situations, or more fitting to their newly acquired status within the nation-state. Such images, as well as being used in political negociation, also are being mobilised as ethnic markers. The A. first discusses how hunting activities, once an important but everyday act, have been mobilised as an image and ethnic marker in the transition from Eskimo to Inuit in Canada. Then he takes up some problems, such as the politics of imagery, the autonomic and heteronomic aspects of imagery, and the importance of imagery in the hunter-gatherer political arena today.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.052 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".