Index
Bibliographic record
Abstract
archaeological sites archaeological collections 335-6 community involvement 339-40 conservation and sustainable development 326-43 conservation for the future 333-8 conservation in practice 334-5 development pressures 331-2 disciplinary convergence, need for 338-9, 340 economic values 328-9 global issues and threats 329-33 historical values 327 identity values 327-8 international guidelines 339 land-use constraints 328 looting 332-3 management of sites 334-5, 336-8, 339-40 meaning and values of sites 327-9 political involvement 312-13, 319-20 preservation approach 315 preventative conservation 315 project identification and scoping 310-12, 321 project management 322 reconstruction 316 rehabilitation and reuse 311, 316 relocation decisions 316 replication 316-17 restoration 316 site valuation and valorization 318-20 social value of sites 319 structural deterioration and stabilization 316 Arias-Valencia, J. 173 Arrow, K. 586
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.806 | 0.679 |
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".