Social justice in library science programs: A content analysis approach
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 an increasingly globalized world, social justice issues dominate the news. Libraries are often viewed as places where social justice ideals are upheld and promoted. This paper uses a content analysis methodology of 10 North American library and information science program websites to discover how social justice education is marketed to potential students through an examination of open access course descriptions, mission statements, and core learning objectives where available. Findings indicate that social justice is embedded in library and information science programs, but there are limited opportunities for prospective students to seek out these courses due to a lack of open access course descriptions and mission statements and shortage of integration in required courses. If library and information science educators want to attract future librarians with strong social justice agendas, then the promotional materials will need to be more explicit in regards to how these programs can aid students in building a social justice mindset.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.011 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.117 |
| Open science | 0.001 | 0.000 |
| 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