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Record W4310102490 · doi:10.29173/iasl8542

School Librarians Conducting Research across Cultures and Countries

2022· article· en· W4310102490 on OpenAlexvenueno aff
Amanda Harrison

Bibliographic record

VenueIASL Annual Conference Proceedings · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLibrary Science and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismContext (archaeology)Class (philosophy)Power (physics)PsychologyCultural diversityPedagogySociologyPublic relationsPolitical scienceEpistemology

Abstract

fetched live from OpenAlex

In an increasingly multicultural world it is essential that school library studies are not solely focused on Western, middle class subjects. However, school librarians who have been trained in cross-cultural practice may not feel as confident in engaging in cross-cultural research. Researchers should be thoughtful as they design their research project and consider at each step in the process whether the study is accessible to all, regardless of cultural background. Furthermore, they may wish to consider the consultation of study participants as they design their research project. They may also consider knowledge paradigms, study context, power issues, and the role of the researcher vs. the research participant. Finally, researchers must keep in mind specific considerations that are specific to research that occurs with children or within schools. Finally, researchers should be aware that new laws regarding how educators question children about family beliefs or values are up for debate in many American states.

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)0.203
metaresearch head score (Gemma)0.221
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.203
Threshold uncertainty score0.982

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2030.221
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0130.022
Science and technology studies0.0130.010
Scholarly communication0.0220.014
Open science0.0020.012
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0320.017

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 head0.148
GPT teacher head0.417
Teacher spread0.269 · 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.

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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