WELLHEISER, SCOTT and BARTON, An Ounce of Prevention: Integrated Disaster Planning for Archives, Libraries, and Record Centres,
Bibliographic record
Abstract
Reviews 155 on those created in the twentieth century.In addition, there is very little information on dealing with computer generated design and the complications that preserving this type of material will represent.But its greatest flaw is that, as a manual, it lacks basic indexing and pagination that would allow users to find specific information quickly and easily.Although it is well written and well organized, some information would be better presented in tables, and while well illustrated, some of the illustrations could be clearer and more comprehensive.Obviously designed to be regularly updated, its packaging (which lacks a spine and binding) makes it difficult to use and it is therefore less likely to be used with any regularity.However, as a basic manual, it provides useful information for North American and European archivists with little experience in dealing with architectural records.For more experienced archivists it can provide a basis for further study.This book would also prove to be highly useful for institutions that are considering collecting architectural material, as it provides a clear description of the nature of architectural records, their similarities and differences from other archival records, and the problems and rewards that will result from caring for this type of material.
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 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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".