Library Carpentry: Software Skills Training for Library 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
Librarians play a crucial role in cultivating world-class research and in most disciplinary areas today world-class research relies on the use of software. This paper describes Library Carpentry, an introductory software skills training programme with a focus on the needs and requirements of library and information professionals. Using Library Carpentry as a case study of the development and delivery of software skills focused professional development, this paper describes the institutional and intellectual contexts in which Library Carpentry was conceived, the syllabus used for the initial exploratory programme, the administrative apparatus through which the programme was delivered, and the analysis of data collection exercises conducted during the programme. As many university librarians already have substantial expertise working with data, it argues that adding software skills (that is, coding and data manipulation that goes beyond the use of familiar office suites) to their armoury is an effective and important use of professional development resource.
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 | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.053 |
| Open science | 0.008 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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