Bibliographic record
Abstract
Hospital library users often use library resources for doing research for scholarly and professional writing projects. Citations and format style for academic papers and publications must often conform to the “APA style,” found in the Publication Manual of the American Psychological Association. This publication manual is among the pantheon of standard publication manuals on library reference shelves, including the American Medical Association Manual of Style, Uniform Requirements for Manuscripts Submitted to Biomedical Journals (Vancouver style), The Chicago Manual of Style, and Turabian's “Manual for Writers.” The APA style is prominently used in social sciences and many nursing and allied health publications. Hospital librarians may be asked for advice on formatting manuscripts and citations, and should know more about the APA style, supporting resources, and where to turn for authoritative information on its rules.
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 | 0.063 | 0.451 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.025 | 0.038 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.022 | 0.023 |
| Open science | 0.007 | 0.014 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.751 | 0.816 |
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".