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Record W2047119201 · doi:10.1353/ils.2011.0001

Teacher and School Librarian Collaboration: A Preliminary Report of Teachers' Perceptions about Frequency and Importance to Student Learning / La collaboration entre enseignants et bibliothécaires scolaires : rapport préliminaire sur la perception par les enseignants de sa fréquence et de son importance pour l'apprentissage des étudiants

2011· article· fr· W2047119201 on OpenAlexvenueno aff
Patricia Montiel-Overall, Patricia Margaret Hayward Jones

Bibliographic record

VenueCanadian Journal of Information and Library Science · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionSchool teachersPsychologyPedagogyMedical educationMathematics educationMedicine

Abstract

fetched live from OpenAlex

Understanding teacher and school librarian collaboration is essential for school librarians to be able to comply with professional school librarian guidelines. While information exists about what school librarians perceive teacher and school librarian collaboration to be, little is understood about teachers' perceptions of collaborative endeavors with school librarians. This study examines teachers' perceptions of teacher and school librarian collaboration. The study surveyed 194 elementary school teachers in two school districts to determine how frequently teachers engaged in collaborative endeavors and how important to student learning teachers' perceived the collaborative endeavors to be. A 16 item self-administered survey was used for data collection.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.021
GPT teacher head0.272
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations14
Published2011
Admission routes1
Has abstractyes

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