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Record W2979862726 · doi:10.29173/iasl7401

International Collaboration in School Library Education Programs

2019· article· en· W2979862726 on OpenAlexvenueno aff
Yuriko Nakamura, Eiji Morita

Bibliographic record

VenueIASL Annual Conference Proceedings · 2019
Typearticle
Languageen
FieldComputer Science
TopicEducational Research and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsCertificateCurriculumSchool libraryLibrary scienceIncentiveMedical educationPolitical scienceVariety (cybernetics)Professional developmentSociologyPedagogyMedicineComputer science

Abstract

fetched live from OpenAlex

This paper addresses the need for and the requirements of international collaboration as a means of improving school library education in Japan. In 2008, in an official report by the Central Council on Education, the learning process was defined as “acquirement, application, and inquiry.” Since then, Japanese teachers have become especially interested in “inquiry,” a word that used to be uncommon in the country’s educational system. This major trend in Japanese education and in the development of information technologies has increased the expectation that students should have a variety of learning resources available to them with help from professional school library staff. At the same time, however, Japanese school librarianship has a significant problem with its training. Most school library education programs are offered at the undergraduate level with the goal of training students who will receive the national certificate for shisho-kyoyu—literally, librarian-teachers. Universities seem to lack incentives to improve their curricula because the certificate is regulated by the School Library Law, and school librarianship in Japan largely remains locally/nationally determined. To explore the issue, a small group of volunteers, including the authors of this paper, planned the International School Librarians’ Forum of East Asia 2018, which held three workshops in English in Japan. After each workshop, an online survey was conducted among approximately 20 participants to evaluate the demand for advanced training such as the workshops they attended. Finally, ideas of how to improve education for school librarianship worldwide by connecting programs such as the one in Japan with leading exemplary programs in the world are discussed, with reference to the survey results.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.551
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.005
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.022
GPT teacher head0.331
Teacher spread0.309 · 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.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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