Musings on Disciplinary Morphology and Nomenclature in the Humanities and Social Sciences: Implications for Book Selection
Bibliographic record
Abstract
Scholarly publication reflects disciplinary orientation, so much so that publishers and library collections personnel use disciplinary nomenclature as referent. University press publications, as well as other serious academic publication venues, may reflect disciplinary nomenclature, if not alignment with those disciplines featured in the AAUP Directory. Using the Directory's discipline and publisher grid for 2007, the article discusses disciplinary nomenclature with the idea of proposing a model or perspective that illuminates the nuances and organic nature of knowledge not easily captured by disciplinary nomenclature. Commonly accepted currency in the academic enterprise, disciplinary nomenclature may be best seen as an organically foundational approach to knowledge discovery and generation and, ultimately, as situated within scholarly communication venues. As knowledge is organic in nature, it may best be seen through the morphology of disciplinary formation and ecology, permitting nuances to emerge as organic formations and intellectual contours. This useful and flexible definitional approach to disciplinarities – subdisciplinarity as well as multi-disciplinarity, interdisciplinarity, and trans-disciplinarity – permits scholars, publishers, and librarians a perspective subtle enough to consider an intellectual cartography that includes the organic nature of scholarship as well as the publication of that knowledge. Such fields as American studies, Middle Eastern studies, and urban studies offer additional perspective when confronted with disciplinary nomenclature. Without disparaging the received wisdom and attribution commonly ascribed to disciplinary nomenclature as used by researchers, publishers, and librarians, the scholarly communication system requires additional perspective, especially where nomenclature is concerned.
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 | 0.030 | 0.088 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.018 |
| Science and technology studies | 0.013 | 0.037 |
| Scholarly communication | 0.024 | 0.025 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".