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Record W4384038208 · doi:10.1080/10598650.2022.2142749

Examining the Roles of Science Museum Facilitators in Academic Research

2023· article· en· W4384038208 on OpenAlexafffund
Stephanie Hladik

Bibliographic record

VenueJournal of Museum Education · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsUniversity of Manitoba
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFacilitatorContext (archaeology)Variety (cybernetics)Agency (philosophy)Professional developmentFunding AgencyEducational researchPedagogyScience educationSociologyFaculty developmentEngineering ethicsPsychologyPublic relationsPolitical scienceEngineeringComputer scienceSocial science

Abstract

fetched live from OpenAlex

Research into teaching and learning in science museums has led to innovations in pedagogy, exhibits, and educational programming. Science museum facilitators play a critical role in advancing the educational missions of their institutions, yet the roles that these facilitators have in academic research projects aimed at understanding learning within the context of their museums vary widely. In this systematic review, 40 articles and book chapters were reviewed for how science museum facilitators participate in reported research and design activities. The findings suggest that facilitators take on a variety of roles within research projects, from simply being talked about in the context of professional development programs, to taking active roles as co-designers and co-researchers in their institutions. Increasing opportunities for facilitator agency and voice within academic research may improve scholarly understanding of facilitators’ experiences, pedagogies, and institutional constraints, thus improving the designs of exhibits, educational programming, and professional development opportunities.

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)0.004
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.260

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.238
GPT teacher head0.401
Teacher spread0.164 · 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

Citations2
Published2023
Admission routes2
Has abstractyes

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