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Record W139029813 · doi:10.29173/slw6766

School libraries in the Netherlands

2001· article· en· W139029813 on OpenAlexvenueno aff
Albert K. Boekhorst, M. van der Veen

Bibliographic record

VenueSchool Libraries Worldwide · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsSchool libraryOrder (exchange)Process (computing)Relation (database)Data collectionMathematics educationSociologyComputer sciencePedagogyPublic relationsPsychologyBusinessLibrary sciencePolitical science

Abstract

fetched live from OpenAlex

Recent developments in education in the Netherlands have emphasized the role of school libraries in the learning process. In order to assist secondary schools in updating their school libraries and preparing them for a new role in learning, research was conducted on the position of school libraries in the schools. An input-output research design was used to provide an analysis of the distinct elements that constituted the system (input) in relation to the products of the system (output). The input factors included organizational structure, library staff, financing, technical infrastructure, collection, and collaboration both in the school and with other organizations. The output included access to the collection, facilities, and instruction. The main finding was that school libraries differed greatly one from the other and that the person of the school librarian seemed to be the most important factor in the success of a school library.

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)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.052
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0020.001
Scholarly communication0.0120.004
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0310.004

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 head0.019
GPT teacher head0.272
Teacher spread0.254 · 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 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

Citations3
Published2001
Admission routes1
Has abstractyes

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