Bibliographic record
Abstract
This is the story of struggle for survival in the Andes. Ravaged by the excesses of Nature, a brutal insurgent conflict and more recently by the inroads of economic globalization, the inhabitants of the Peruvian sierra face the prospect of ever-increasing poverty and the withering away of their villages and cultural traditions. Worldwide recession, or its threat, simply magnifies the problem. While there are no permanent solutions, purely local initiatives centering on community-organized and operated enterprises have produced some creative approaches. These may offer alternatives and hope to other communities, and they are the focus of this study. 3 THE THREAD OF HISTORY The mountains of the Peruvian Andes, incredibly lush where the eastern slopes fall to the basin of the Amazon system and brutally arid as they rise in the west from the coastal desert, are home to people of pure or almost pure indigenous stock. These are the Quechua, descendants of the vast empire of the Incas. Centuries of outside influence
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.024 |
| Scholarly communication | 0.013 | 0.025 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.032 | 0.003 |
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".