Bibliographic record
Abstract
Публикация предлагает русский перевод главы «Future» (Будущее) из книги одного из основателей реставрационной науки в Канаде Филиппа Варда «The Nature of Conservation: Race against Time» (Природа Консервации: Гонка со Временем», 1986), которая посвящена проблеме прогнозирования будущего профессии реставратора. Вард был одним из тех, кто на 50 лет вперед предвидел изменения в профессии. Комментарии к переводу обращают внимание не только на изменения, которые научно-технический прогресс неизбежно вносит в профессию, но и на то, как меняется само отношение к роли культурного наследия, искусству и его материалам. The publication presents a Russian translation of the chapter “Future” from the book by one of the founders of restoration science in Canada, Philip Ward, “The Nature of Conservation: Race against Time” (1986), which is devoted to the problem of predicting the future of the profession of restorer. Ward was one of those who foresaw future changes in the profession 50 years ago. Comments on the translation draw attention to the transformations that technical and scientific progress inevitably bring not only to the profession, but also change the attitude to the role of cultural heritage, art and its materials.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.008 |
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".