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Record W6989256039

2020/2021 Annual Report - Helen Carswell Chair in Community Engaged Research in the Arts

2021· other· en· W6989256039 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPrivilege (computing)FinchThe artsAnnual reportGeneral partnershipWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

OverviewThe past year has been one of adjustment and growth for the Helen Carswell Chair.It has been a privilege to serve as Chair and become familiar with the capabilities and potential of this important partnership between York University and the Jane and Finch community.Our work this year has been dedicated to building relationships within York University, with RPSM, with other community music organizations in the Jane and Finch neighbourhood, with community music organizations across Canada, and with fellow advocates for inclusive arts education around the world.Highlights from this year include hosting online webinars on community music topics featuring panelists from the Jane and Finch community, presenting at international conferences such as the International Society for Music Education virtual conference in Zambia, and publishing our own Helen Carswell website to increase awareness of our partnership and research.We were able to generate new interest in the Chair by engaging prospective researchers within our York University community and presenting as part of the AMPD Research Spotlight Series.We were thrilled to receive a record total of submissions to our 2021 Call for Proposals for continued community-engaged research in the arts.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.377
Threshold uncertainty score0.888

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.000
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.3770.303

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 head0.048
GPT teacher head0.240
Teacher spread0.192 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

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