The right to read in a censored world: The position of young people, educators, and librarians in protecting intellectual freedom
Bibliographic record
Abstract
The purpose of this paper is to examine the topics of intellectual freedom and censorship, particularly in the context of restricting access to ‘controversial’ books in libraries and classrooms. Although censorship exists in various forms, it always results in the suppression of information access and disproportionately targets works by LGBTQIA+ authors and authors of colour. This paper brings into focus the experiences of young people (who are often the most affected by censorship due to their caregivers/authority figures deeming material unsuitable), highlighting the importance of fostering their independence as readers and decision makers. Additionally, it explores the vital role of educators and librarians in protecting intellectual freedom, discussing possible constructive responses to censorship that foster inclusivity and access to information.Keywords: censorship, reading, intellectual freedom, education
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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 | 0.013 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.029 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".