Bibliographic record
Abstract
The forms are very generic, making them adaptable to any archive.The book also comes with a compact disc, with the forms in rich text format (RTF), portable document format (PDF), and Microsoft Works 97.This allows for easy printing from one's desktop.The printed forms are clear and simple, making them ready to photocopy, distribute, and use.The table of contents lists all the book's forms individually, however some of the titles are not very helpful in determining the content or purpose of the form.Often times it is necessary to use the table of contents to locate certain subjects, then determine which form you need by actually reading each form individually.The book is an American publication so other readers will notice that extents are in inches and yards, and that the addresses use ZIP codes and states.This is not really an issue as the forms are alterable from the disc.Over the years the archival profession has seen the introduction of other manuals, such as the Archives Association of British Columbia's Manual for Small Archives and the Association of Newfoundland and Labrador Archivists' Resource Binder for Small Archives, that explain and detail procedures and theory.This manual has very limited emphasis on either procedure or theory.However, the combination of this manual with the instructional ones makes a great addition to any archives.It is particularly useful for any newly established small archive.This manual of forms will save time and ensure that your forms are complete, uniform, and pragmatic.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.097 | 0.058 |
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".