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Record W3149856787 · doi:10.29173/iasl7534

Barriers to the Influence of Research

2021· article· en· W3149856787 on OpenAlexvenueno aff
Laurel A. Clyde

Bibliographic record

VenueIASL Annual Conference Proceedings · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Information Literacy
Canadian institutionsnot available
Fundersnot available
KeywordsPresentation (obstetrics)Quality (philosophy)Research designData collectionScale (ratio)Naturalistic observationField (mathematics)Test (biology)PsychologyMedical educationLibrary scienceSociologyComputer scienceSocial scienceMedicineSocial psychology

Abstract

fetched live from OpenAlex

This paper for the Seventh International Forum on Research in School Librarianship describes a small-scale pilot study that is part of a much larger longitudinal study of “Research and Researchers in School Librarianship”. The pilot study is a preliminary attempt to address issues associated with determining the quality of the published research in the field of school librarianship. The main aims are first, to test the extent to which experienced evaluators agreed in their rankings of research articles on the basis of quality; and secondly, to investigate the ways in which experienced evaluators evaluate research articles. A qualitative, naturalistic research design is used. The data collection was still proceeding at the time the paper was being written; the conference presentation will therefore provide further information about the results of the data analysis and draw some conclusions from the analysis. However, it is already clear from the literature review that the relationship between research quality and the adoption of the results of that research in decision making is more complex than we have supposed.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score0.688

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.006
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.045
GPT teacher head0.364
Teacher spread0.320 · 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 designQualitative
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
Published2021
Admission routes1
Has abstractyes

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