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Record W4385258132 · doi:10.33423/jhetp.v23i12.6247

Perceptions of Excellence Teachers of Different Disciplines About the Role of the School Library and Their Ways of Using It: Opportunities to Form Reading Communities in the School

2023· article· en· W4385258132 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Higher Education Theory and Practice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLiteracy and Educational Practices
Canadian institutionsAtkinson Foundation
FundersAgencia Nacional de Investigación y Desarrollo
KeywordsReading (process)ExcellencePerceptionSchool libraryPedagogySubject (documents)Resource (disambiguation)Mathematics educationLimitingSociologyPsychologyLibrary sciencePolitical scienceComputer scienceEngineering

Abstract

fetched live from OpenAlex

School libraries are a relevant resource to support the formation of reading communities and pedagogical practices. However, there is limited evidence in Chile on how teachers use it in their disciplines; therefore, there is consensus on the need to explore this aspect. For this reason, this study aimed to analyze the perceptions of eleven excellent teachers of elementary education of different disciplines, belonging to the region of La Araucanía (Chile), about the role of the school library and the ways of using it in their subjects. Our results show that there are different appreciations according to each subject, but, in specific, it is in Language (Spanish) where its use is most favored. At the same time, we detected three critical nodes at a transversal level that would represent a limiting factor for integrating the library into reading education processes, and thus, advancing toward a reading community.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalhigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.101
GPT teacher head0.390
Teacher spread0.289 · 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