MétaCan
Menu
Back to cohort
Record W6888078631 · doi:10.18452/25288

Information literacy as a social practice: A threshold concept for academic instruction librarians

2022· article· en· W6888078631 on OpenAlexaboutno aff

Bibliographic record

Venueedoc Publication server (Humboldt University of Berlin) · 2022
Typearticle
Languageen
FieldEngineering
TopicIntegrated Energy Systems Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsInformation literacyFocus (optics)Focus groupRepresentation (politics)Library instructionAcademic libraryLiteracyQualitative research

Abstract

fetched live from OpenAlex

Introduction. This poster presents research from a dissertation study that was the second phase of a two-phase study. The first phase of the study found that viewing information literacy as a social practice was a threshold concept for academic instruction librarians in the United States. This study builds on that finding by examining how the threshold concept describes the experiences of currently practicing academic instruction librarians. This poster will show the original threshold concept, the revised threshold concept and describe how academic librarians taught from a social practice perspective. Methods. Focus groups and semi structured diary entries were used to collect data from nine academic instruction librarians in the United States and Canada. Focus groups were held in September and December, 2021. Diary entries were collected weekly between the two sets of focus groups. Analysis. Qualitative content analysis was performed using Atlas.ti version 22 and Excel. Results. The original model was adjusted with the addition of supports that can help academic instruction librarians confront and avoid tensions that push them towards teaching skills out of context. Conclusion. The adjusted model was decided to be an accurate representation of participants’ experiences.

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 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 score0.713
Threshold uncertainty score0.780

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 studies0.0000.000
Scholarly communication0.0000.007
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.216
Teacher spread0.209 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueedoc Publication server (Humboldt University of Berlin)Same topicIntegrated Energy Systems OptimizationFrench-language works237,207