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Editorial Introduction

2019· article· es· W4246400807 on OpenAlex
Mary Fogarty

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueIASPM Journal · 2019
Typearticle
Languagees
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsYork University
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

Recently, I attended a theatrical performance created by a Montreal-based band, Stars. Titled Stars: Together, it grapples with the question of how older bands can fit into a new artistic environment, one that has undergone profound economic, geographical, and political changes brought about by globalization and of course the digital revolution. At a meta-moment in the show, one of the front persons of the band, Torquil Campbell, states that he would rather do theatrical shows to survive than become a Spotify house band. His bandmates listen to his passionate punk diatribe, not captivated, or convinced, by such sentiments. The play discusses this tactical conundrum alongside connected issues such as gentrification and its effects on their access to affordable rehearsal space. Montreal's indie scene thrived on cheap rent; it is how Stars and other bands such as Wolf Parade and Arcade Fire got established. The re-creation of their practice-space Mount Zoomer -the inspiration for their theatrical set -was famously used by both bands.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.094
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0970.004

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 head0.008
GPT teacher head0.196
Teacher spread0.188 · 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