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Record W2206730773

"Good works" with benefits: using applied ethnomusicology and participatory action research in benefit concert production at the Unitarian Church of Vancouver

2007· dissertation· en· W2206730773 on OpenAlexaboutno aff
Samantha Breanne Fletcher

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2007
Typedissertation
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEthnomusicologyParticipatory action researchGeneral partnershipCitizen journalismSociologySet (abstract data type)Action (physics)Public relationsPolitical scienceLawArtComputer scienceVisual artsAnthropologyMusical
DOInot available

Abstract

fetched live from OpenAlex

Within the rather limited applied ethnomusicology literature, what are lacking are methodological summations (how does one practice applied ethnomusicology and what are the implications of doing so?), as well as documented applied research wherein researchers have been or continues to be members of the community in which they are working. By documenting and critiquing the production of a benefit concert in partnership with the Unitarian Church of Vancouver, it has been my intention to contribute to this limited area of study by providing a process-oriented thesis investigating an applied project in a community of which I am a part In so doing, the ways ethnomusicologists may practically contribute their skills to community-based education and social justice actions, and the ways such initiatives might be effectively represented through scholarly writings, will be explored. -- Further, this thesis endeavors to respond to a set of questions that are raised when ethnomusicologists, musicians and community organizations are engaged in relationships of assistance with marginalized and disenfranchised members of the community: When do we help? How do we help? Why do we help? What kind of dialogues are we engaging in with those we are assisting? When is help desired, and when is it not? How can we re-think our processes, motivations, and communication techniques so that benefit events may become as respectful and reciprocal as possible? And finally, how can all participants both help and be helped? Though these questions have not been definitively answered, and though I have stated that responses will be project- and community-specific, the consideration of the issues they raise is of utmost importance in cultivating reciprocal and respectful benefit concert production techniques. -- Finally, the results of applying ethnomusicology in church communities, the methods that were utilized, and the participatory nature of this work approach will be thoroughly examined and critiqued, resulting in recommendations for the development of this form of applied ethnomusicological research.

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)0.043
metaresearch head score (Gemma)0.035
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 score0.824
Threshold uncertainty score0.350

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.035
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0260.033
Scholarly communication0.0230.007
Open science0.0030.013
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.230
GPT teacher head0.326
Teacher spread0.096 · 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

Citations1
Published2007
Admission routes1
Has abstractyes

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