Bibliographic record
Abstract
The article is an exploration of library operational adaptations to the changing technologies of information distribution and usage.The librarians present glimpses of the changes occurring in their library operations as they transition to services without print.The cadence of change particularly with respect to e-books continues to accelerate.The librarians summarize some of the technology changes of the last year and explore, through the evidence of their changing library operations, a range of topics including: trends in ebook "acquisition" and usage; developments in open access publishing; changes in consortia; and the role of librarians in instruction and evolving peer-review and publication processes. A Very Brief History of the Word and Innovation, Allen McKielJim Dooley, Robert Murdoch, and I have been presenting on the changing library operations at the Charleston Conference in panel mode for the past 5 or 6 years.I have generally started the presentations and discussions with an overview of some of the changes in the technical, political, business, and legal aspects of the information sphere that have occurred over the year and that have bearing on library operations.This year I decided to scan the long view of the human information sphere for patterns that provide a framework for viewing the current changes.The scan lightly touches and thematically packages the evolution of the spoken word, writing, the printing press, and finally, the Internet.
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 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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".