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Record W3151345889 · doi:10.29173/iasl7666

School Librarians Coping with Electronic Environments

2021· article· en· W3151345889 on OpenAlexvenueno aff
Jadranka Lasić‐Lazić, Mihaela Banek Zorica, Sonja Špiranec

Bibliographic record

VenueIASL Annual Conference Proceedings · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsSchool libraryHierarchyInformation and Communications TechnologyCoping (psychology)Digital libraryKnowledge managementPublic relationsComputer scienceSociologyPsychologyWorld Wide WebPolitical science

Abstract

fetched live from OpenAlex

This paper focuses on abilities of librarians to adapt and respond to the constantly emerging changes influenced by the advancement of ICT. The authors emphasize the necessity of defining and promoting new concept and understanding of the school library in electronic environment. Traditional school library roles need to adapt and change to respond to the needs of new users growing up in the interactive and information overloaded environment. Many of the aspects of current school library tasks and roles originate from a print-based culture which is incongruent with the transient and hybrid nature of digital environments. These radically changing environments are posing different tasks on school librarians leading them to balance carefully between the traditional school environments, infrastructure, institutions hierarchy and with the various new needs of “Google generation” users. Taking into account all the changes in the information environment authors emphasise the necessary improvements in education of school librarians.

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 categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score0.999

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 studies0.0010.000
Scholarly communication0.0010.018
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.242
Teacher spread0.230 · 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.

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

Citations1
Published2021
Admission routes1
Has abstractyes

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