Toward <scp>Evidence‐Based</scp> Cataloging Ethics: Research, Practice and Training in Knowledge Organization
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
ABSTRACT This panel considers the bridge between research and practice in cataloging ethics. Cataloging ethics – including indexing and classification – is an important part of practice, yet cataloging ethics research and practice are not always clearly connected. The purpose of this panel is to build towards more evidence‐based cataloging ethics practice. Two main areas will be considered. The Cataloging Code of Ethics (2021) is a vital part of these discussions: this major codification of cataloging ethics was the result of both practitioner input and much research. This panel will discuss ways in which the Code can lead to more research‐informed practices. Teaching and training is a crucial – and under‐discussed – aspect of cataloging ethics, both within library and information science education and workplace training. Therefore, the panel will contemplate how training and teaching can germinate research‐based practices. The panel will be in three parts: a panel presentation about cataloging ethics, including each member's perspectives and experiences on teaching and training in cataloging ethics; small group discussions about real world cataloging ethics scenarios, utilizing the Code to generate discussion; and feedback to the whole group with a closing discussion about strengthening the relationship between practice and research in cataloging ethics.
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 | 0.015 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.014 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.028 |
| Open science | 0.001 | 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 it