Cultivating TALint: Using the Core Competencies as a Framework for Training Future E-Resource Professionals
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
In 2014, the University of Toronto’s Faculty of Information (iSchool) and the University of Toronto Libraries (UTL) partnered in the development of the Toronto Academic Libraries Internship (TALint) program. Focused on workplace-integrated learning, the TALint program provides enhanced educational experiences for Masters of Information students by combining periods of in-class study with actual workplace experiences. With this year’s TALint cohort in UTL’s Metadata Technologies Unit, the NASIG Core Competencies for Electronic Resources Librarians was used as a framework for student training. In this session, we discuss the development of a comprehensive student training plan in electronic resource management, the key benefits of using the NASIG Core Competencies within the TALint program, student perceptions of competency-based training, and we outline future directions for the TALint program within the Metadata Technologies Unit.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.006 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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