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Record W4256005626 · doi:10.29173/iasl8162

Combined School/Public Libraries in Israel at the High School Level: Some Results of an Exploratory Field Study

2021· article· en· W4256005626 on OpenAlexvenueaboutno aff
Miriam Hiram, Moshe Yitzhaki

Bibliographic record

VenueIASL Annual Conference Proceedings · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsSchool libraryPrincipal (computer security)Scale (ratio)Sample (material)Library scienceEmpirical researchExploratory researchControl (management)Medical educationPolitical sciencePsychologySociologyMedicineGeographyComputer scienceManagementSocial scienceMathematicsEconomics

Abstract

fetched live from OpenAlex

The issue of combined school-public libraries has long concerned researchers and practitioners in the field and is well documented in literature. A literature survey reveals opinion articles as well as empirical field studies, especially in the US, Canada, UK, Australia and Germany, which attempt to determine the advantages and disadvantages of this model, and possible factors associated with its success in practice. Despite the importance of the topic and its potential of budget savings and greater efficiency in use of resources, no large-scale empirical study of the extent and performance of combined school-public libraries in Israel has been conducted. The study aimed to empirically investigate the combined school-public libraries on the high school level existing in Israel. The main research tools were three different written closed questionnaires sent to the school librarian, school principal and one of the school teachers. In 1996 questionnaires were mailed to all 65 schools known to have some type of combination libraries: 26 had a combined school-public library, while in the remaining 39 schools the library was a branch of a regional or municipal public library. Questionnaires were also mailed to 40 randomly-chosen schools, having a 'regular' (i.e. not combined) library, to serve as a control group. Response rate was about 50% and the final sample included 51 libraries: 18 -combined, 11-'branches', and 22-'regular' ones. Main findings were: the number of combined libraries has risen constantly over the decades which seems to be an interesting trend, especially in view of the recent decline reported in the US and Canada. Regarding space and seats the situation in the regional libraries was much better than in the urban ones. Concerning opening hours the urban combined libraries were open longer than the regional combined ones and the control group. The combined libraries, mainly the urban ones, were open for more afternoon hours, all of them were open during school vacations, and they had a higher average number of weekly librarian hours per school. Regional combined libraries had a much larger number of books per student and periodicals and computers per library than the urban combined ones and the control group. The mean number of users of the reading-room was about the same (usually low) in all types of libraries in afternoon hours, but differed considerably in the mornings, probably due to different teaching methods. About half the librarians, the school principals and the teachers in the combined libraries rated their combined library as 'very successful', while the rest rated it as only 'partially successful', or expressed dissatisfaction, pointing out serious problems. Regional librarians were much more satisfied with the combined model, compared to their urban colleagues. Findings indicated that the combined model is more likely to succeed in a regional library, in a rural setting, than in an urban one.

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)0.007
metaresearch head score (Gemma)0.007
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.004
Science and technology studies0.0040.003
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
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 head0.079
GPT teacher head0.307
Teacher spread0.228 · 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".

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Citations0
Published2021
Admission routes2
Has abstractyes

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