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Record W3201465546 · doi:10.29173/slw8223

Graphic Novel Selection and the Application of Intellectual Freedom in New Zealand Secondary School Libraries

2021· article· en· W3201465546 on OpenAlexvenueno aff
Brett Moodie, Philip Calvert

Bibliographic record

VenueSchool Libraries Worldwide · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsnot available
Fundersnot available
KeywordsIntellectual freedomCensorshipImpartialitySelection (genetic algorithm)School libraryInformation literacyLiteracyFreedom of informationPublic relationsSociologyPsychologyLibrary sciencePedagogyPolitical scienceComputer scienceLaw

Abstract

fetched live from OpenAlex

There is a gap in our knowledge about the relationship between school library managers’ graphic novels selection and self-censorship practices. In this project, we surveyed New Zealand secondary school library managers. The survey results suggested school library managers inconsistently follow professional library standards in selection practice and that self-censorship was identifiable among 56% of the survey respondents. Many respondents also indicated that impartiality was an insignificant selection criterion. Results also indicated that school library managers were unclear as to whether intellectual freedom principles applied to people under the age of 18. We provide directions for further research and implications for practice, including our commitment to create a best-practice guide, based upon the research presented here, to assist school library managers in the development of graphic novel collections that not only meet educational standards of assisting literacy, but also align with professional library standards of intellectual freedom.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.011
GPT teacher head0.198
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2021
Admission routes1
Has abstractyes

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