Benefiting Remote Tibetan Communities with Solar Cooker Technology
Bibliographic record
Abstract
In the remote northwestern Chinese province of Qinghai (Tibetan plateau), the Tibetan people struggle to gather yak dung, wood, straw, and other fuels for heating, boiling, and cooking—the basic necessities for survival. Over the past seven years, extreme cold (-35°C) and drought has had a significant effect on the environment, the Tibetan people, and the livestock and crops upon which these people depend. The environment has become increasingly denuded and many Tibetans, both farmers and herders, are caught in a vicious cycle of destitution. The use of solar cookers as a partial substitute for dung, wood, bushes and straw has helped alleviate this cycle. This paper reports on the accrued benefits to remote Tibetan communities following a program of solar cooker introduction to 48 such recipient communities. Work carried out in 2003 primarily by Tibetan students studying in an English Training Program, at the Qinghai Nationalities Teacher's College, Qinghai Normal University, Xining City, PRC (supported by the Canada Fund) combined with observations over three visits to the region in 2003 and 2004 are discussed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".