MétaCan
Menu
Back to cohort
Record W7109166829 · doi:10.17613/yvbyk-d3v81

The Phenomena of Music for Classification

2022· report· en· W7109166829 on OpenAlexaff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2022
Typereport
Languageen
Field
Topic
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsDomain (mathematical analysis)Set (abstract data type)Music information retrievalTraining (meteorology)

Abstract

fetched live from OpenAlex

The Phenomena of Music for Classification, is no. 2 in the IKOS Technical Reports Series. It documents a Domain Analysis Clinic (DAC) held at the Institute for Knowledge Organization and Structure, Inc. (IKOS) in Lake Oswego, Oregon, USA, in November 2019.

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)0.007
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.032
Threshold uncertainty score0.107

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0050.006
Science and technology studies0.0040.008
Scholarly communication0.0130.020
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0320.013

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 head0.117
GPT teacher head0.293
Teacher spread0.175 · 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 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueKnowledge Commons (Lakehead University)French-language works237,207