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Reports From the Field: Building a New Social Contract for Community Engagement Through Musical Virtual Hangouts

2020· reference-entry· en· W3091826285 on OpenAlexaff
Patrick Schmidt

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsWestern University
Fundersnot available
KeywordsSymphonyField (mathematics)Public relationsResistance (ecology)MusicalCitizen journalismSociologyCommunity engagementSocial capitalPolitical scienceEngineeringVisual artsSocial scienceHistoryLawArt

Abstract

fetched live from OpenAlex

This field report provides insight into the nature and reach of a community engagement program called Virtual Hangouts developed by the community office of the New World Symphony (NWS), in Miami, Florida (USA). Functioning under the umbrella of a larger, digitally oriented program called “Connect,” the case presented here is productive and instructive, not simply because it provides insight into some forms of participatory culture within a traditionally highly autocratic environment—the symphony orchestra—but, more complicatedly, because of what it tells us about what can be accomplished regarding institutional adaptation and what forms of resistance are created along the way. This brief account explores virtually oriented community engagement from a social capital formation lens and how institutions such as the NWS establish policy frameworks to orient projects such as these in areas that are not usually explored by traditional organizations.

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)0.021
metaresearch head score (Gemma)0.025
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.017
Scholarly communication0.0150.013
Open science0.0030.016
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0170.002

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 head0.216
GPT teacher head0.373
Teacher spread0.156 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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