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Record W2016409236 · doi:10.1080/00377996.2012.720308

We Need To Talk: Improving Dialogue between Social Studies Teachers and Museum Educators

2013· article· en· W2016409236 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Social Studies · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsSt. Mary's University
Fundersnot available
KeywordsMuseum educationMuseum informaticsSocial studiesSociologyTeacher educationPedagogyPsychologyMuseologyVisual artsArt

Abstract

fetched live from OpenAlex

Researchers have argued for increased collaboration between teachers and museum educators to improve the outcomes of museum education on students; however, significant gaps in understanding between the two remain impediments to effective collaboration. We surveyed fifty-one museum educators, conducted in-depth interviews with ten of these respondents, and analyzed the data with use of an inductive lens. In this article we use a composite dialogue between a museum educator and a teacher to present a series of questions teachers should ask of, and information they should provide to, museum educators. Such questions and information can be used to initiate more effective collaborative relationships that may ultimately improve the quality of museum education for our students. We argue that gaps in museum educators’ understanding about teachers’ needs, objectives, and concerns about museum visits could be bridged if teachers knew what questions to ask and what information to volunteer to museum educators before arranging a museum visit.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.001
Scholarly communication0.0000.000
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 head0.098
GPT teacher head0.312
Teacher spread0.214 · 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