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Record W2097211269 · doi:10.59236/ijea10n4

The Impacts of the Presence of the Cultural Dimension in Schools on Teachers and Artists

2009· article· en· W2097211269 on OpenAlexaff
Héloïse Côté

Bibliographic record

VenueInternational journal of education and the arts · 2009
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHappinessGeneral partnershipMeaning (existential)CurriculumPedagogyAffect (linguistics)Dimension (graph theory)SociologyHofstede's cultural dimensions theoryPsychologyMathematics educationSocial psychologySocial sciencePolitical science

Abstract

fetched live from OpenAlex

Several governments throughout the world promote cultural partnership programs as a means of enriching the school curriculum. How do such programs affect teachers and artists? What meaning do they give to the presence of the cultural dimension in schools? To answer these questions, I examined the content of twelve semi-structured interviews (n=12) conducted with teachers and artists within a sociology of justification theoretical framework. The findings suggest that cultural partnerships between teachers and artists enabled them to experience happiness and satisfaction as well as to learn from each other. Cultural partnerships seem to produce these effects when they involve a dialogue between teachers and artists in order to reach mutual understanding and respect. I conclude this paper by addressing the factors to consider when implementing cultural partnerships and the limitations of my study.

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)0.008
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.017
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0140.016
Scholarly communication0.0080.003
Open science0.0010.011
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.017
GPT teacher head0.300
Teacher spread0.283 · 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 designObservational
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

Citations5
Published2009
Admission routes1
Has abstractyes

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