Knowledge organization trends in library and information studies: a preliminary comparison of the pre- and post-web eras
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Qualitative analyses were used to launch a preliminary exploration of the dominant knowledge organization (KO) trends in the pre- and post-web eras. Data for this study was assembled by searching the Library, Information Science, and Technology Abstracts database for articles that have used the term `knowledge organization' or `information organization' in their titles, abstracts, or descriptors. Taken as a whole, these preliminary results suggest that the content of the KO literature has shifted since the advent of the web. Although classic KO principles remain prominent throughout both eras, the presence of new content areas, such as metadata, denotes a shift in KO trends. In the pre-web era, the literature was related in large part to indexing and abstracting. In contrast, cataloging and classification issues dominate the landscape in the post-web era. The findings from this paper will be of particular use to those interested in learning about upcoming trends in the KO literature.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.055 |
| Open science | 0.001 | 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 it