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Record W2167699283 · doi:10.1177/0255761405050932

Iitaohkanao’pi - The Meeting Place Project: an alternative approach to young people’s concerts

2005· article· en· W2167699283 on OpenAlexaff
Edwin B. Wasiak

Bibliographic record

VenueInternational Journal of Music Education · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsDanceMusicalAttendanceVisual artsUnit (ring theory)PedagogySingingMusic educationAction researchAction (physics)SociologyAestheticsPsychologyArtMathematics education

Abstract

fetched live from OpenAlex

This study explored alternative approaches to young people’s concerts aimed at extending musical appreciations and cultural understandings while promoting interest in concert attendance among upper elementary students. The project, an artistic and cross-cultural collaboration grounded in a spirit of mutual respect, consisted of three components: (1) concert; (2) instructional unit; and (3) action research. The concert was a ‘meeting place’ of contemporary art music and contemporary native-American music; ancient Blackfoot mythology and contemporary dance and new media; and traditional Blackfoot dress and artifacts and those of contemporary North America. The instructional unit was designed to enable students to make connections between materials and processes used in the creation of the concert and those experienced in music classes. Research findings indicated that response to the concert was positive and the project was highly successful in promoting cultural understanding; however, data regarding the efficacy of the instructional unit were inconclusive.

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)0.004
metaresearch head score (Gemma)0.003
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 score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0070.003
Scholarly communication0.0040.002
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.068
GPT teacher head0.305
Teacher spread0.237 · 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

Citations8
Published2005
Admission routes1
Has abstractyes

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