Strategies For Sustainable Development: Experiences from the Pacific
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
* Contents * 1. Sustainable Development and the Pacific Islands - John Overton * PART I: CONTEXTUAL ISSUES * 2. Resources and the Environment - John Overton and R R Thaman * 3. An Historical and Political Context - Richard Wartho * 4. Culture and Society - Regina Scheyvens * 5. Livelihoods - Nicholas Purdie * 6. Land Tenure and Atoll Society in Kiribati - Peter King * 7. Migration and the Cook Islands - Kirsti Hooker and Judith Varcoe * 8. Vanua: Land, People and Culture in Fiji - Kalaveti Batibasaqa * PART II: EFFECTS OF DEVELOPMENT * 9. Logging in Melanesia - Regina Scheyvens and Ross Cassells * 10. Mining in Papua New Guinea - Regina Scheyvens and Leonard Lagisa * 11. Marine Resources - Salome XXX * 12. Population and Urban Environments - Donovan Storey * 13. Commodity Production and Unsustainable Agriculture - John Overton, Warwick Murray and Imam Ali * PART III SUSTAINABLE ALTERNATIVES * 14. Nature Conservation (and Aid in Western Samoa) - Ned Hardie-Boyes * 15. Sustainable Agricultural Options - John Overton * 16. Sustainable Forestry Options - Regina Scheyvens and Ross Cassells * 17. Ecotourism - Regina Scheyvens * 18. Sustainable Urban Footprints - John Overton and Donovan Storey * PART IV CONCLUSIONS AND ISSUES * 19. Conclusions - John Overton and Regina Scheyvens
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 | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it