Responses to Geoffrey Wainwright's report ‘The Stonehenge we deserve’, <i>Antiquity</i> 74 (2000): 334–42
Bibliographic record
Abstract
In June this year, we published Geoffrey Wainwright's paper on ‘The Stonehenge we deserve'. This paper aimed to provide a review of progress towards sorting out the many problems of management, presentation and conservation of this World Heritage site and its landscape. As readers of ANTIQUITY are well aware, the fortunes of Stonehenge are intimately linked with politics, money and public opinion, and the long saga of possible solutions to make the site a better place for the future rest on these changing variables. Dr Wainwright outlined past strategies and the hope of future solutions as they were early this year. Already things have changed and the invited responses which we publish here discuss the recent changes of plan for Stonehenge. Baxter & Chippindale review the difficulties of the ‘current’ scheme and its incompatibility with visitor numbers. Fielden exposes the incompatibility of the A303 proposals for Stonehenge with legislation and planning; and Kennet & Young raise the problems of the various Plans and politics. We sent these responses to Dr Wainwright for his current view of the situation.
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.016 | 0.016 |
| Insufficient payload (model declined to judge) | 0.023 | 0.006 |
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".