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Record W222421168

The Role of the Principal in an Information Literate School Community: Design and Administration of an International Research Project

2000· article· en· W222421168 on OpenAlexaboutno aff
Dianne Oberg, Lyn Hay, James Henri

Bibliographic record

VenueSchool library media research · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsPrincipal (computer security)BenchmarkingInformation literacyAdministration (probate law)LiteracyPolitical scienceData collectionPublic relationsSociologyLibrary sciencePedagogyBusinessComputer scienceSocial scienceMarketing
DOInot available

Abstract

fetched live from OpenAlex

Support of the principal is a key factor in the implementation of effective programs in schools. An international study of the principal’s role in developing and supporting information literate school communities was conducted in Australia, Canada, Finland, France, Japan, Scotland, and South Korea. The study sought to inform the efforts of principals and teacher-librarians throughout the world seeking to develop information literate school communities. Such school communities place a high priority on the mastery of information-use processes by both teachers and students; that emphasis on information literacy is reflected in policy, benchmarking, funding, and evaluation. One of the unique features of this international study was the use of online data collection and analysis techniques. In this paper, the researchers describe the design and administration of the study and explore the methodological issues involved. This information will be of use to researchers interested in replicating the study or in designing a similar study.

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)0.112
metaresearch head score (Gemma)0.052
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.595

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1120.052
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0090.007
Scholarly communication0.0060.004
Open science0.0020.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.106
GPT teacher head0.422
Teacher spread0.317 · 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 designNot applicable
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

Citations2
Published2000
Admission routes1
Has abstractyes

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