Behind Closed Doors: The Hidden Intellectual Work and Images of Librarianship
Bibliographic record
Abstract
Unlike many professionals, much of the intellectual work of librarians takes place behind closed doors, hidden from those who actually use the resulting service. Research on user perceptions of collection development work in public libraries, (the Who Decides? study), revealed that collection development is a hidden intellectual responsibility. Brief interviews were conducted with 106 adults in twoCanadian public libraries. Only 40% identified library staff as being responsible for collection development. Others suggested a variety of decision makers, including users and “ the public” , committees of community leaders, government officials, publishers, and pre-existing lists. Most respondents indicated that they were guessing. They frequently used mental models to generate answers. The authors contend that at least part of the misunderstanding of librarians and their work may be attributed to its hidden nature. Why the public does not know that librarians select materials is considered along with the implications of these findings with respect to the image of librarians, and the staffing and funding of libraries.
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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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.016 | 0.038 |
| Scholarly communication | 0.016 | 0.013 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".