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Record W2409972039 · doi:10.56105/cjsae.v28i1.4794

Contemporary Understandings of Adult Education and Learning in Public Libraries in Canada and Britain

2016· article· en· W2409972039 on OpenAlexaffvenueabout
Katherine Sanford, Darlene E. Clover

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsSchismPoliticsValue (mathematics)InstitutionSociologyAdult educationSpace (punctuation)Public relationsPolitical sciencePedagogySocial scienceMedia studiesLaw

Abstract

fetched live from OpenAlex

Public libraries have long been considered important spaces of adult education and learning. However, major social changes over the past few decades, and the impact these have had on libraries’ work, have received little attention. Our three-year cross-national study of libraries in Canada and Britain explored how librarians navigate the discourse of adult education and learning and understand its place and value in the institution and society. Findings show that technology, both positively and negatively, drives the pedagogical directions, particularly in Britain, and there is a schism between the values and identities of younger and seasoned librarians. However, we also found that despite age and political and technological pressures, librarians still predominantly view themselves as educators and position the library as a critical cultural space for aesthetic, social, and collective learning and engagement.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.839
Threshold uncertainty score0.973

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.011
Science and technology studies0.0290.021
Scholarly communication0.0150.005
Open science0.0020.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.036
GPT teacher head0.277
Teacher spread0.241 · 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 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

Citations1
Published2016
Admission routes3
Has abstractyes

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