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Record W2803112876 · doi:10.1386/mms.4.2.365_1

‘I’m sorry, but it’s true, you’re bringin’ on the heartache’: The antiquated methodology of Deena Weinstein

2018· article· en· W2803112876 on OpenAlex

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.

Bibliographic record

VenueMetal Music Studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsField (mathematics)Representation (politics)SociologyVisibilityAestheticsGender studiesEpistemologyPsychologyPolitical scienceArtLawPhilosophyGeography

Abstract

fetched live from OpenAlex

Abstract The story of gendered issues in metal is a hot topic of analysis and is often brought up when discussing heavy metal or its culture at all. The treatment and representation of women remains a popular topic in metal studies, especially with the increased visibility and participation of women in academia. It is our opinion that the study of gender in metal remains an important topic, and continued study should be encouraged. It is for those reasons we would like to address the antiquated methodology and opinions of Deena Weinstein in regard to gender in this article, in lieu of politely, and quietly, ignoring them. We believe that some of her claims are harmful to the current direction the metal music studies field is taking, and as feminist academic scholars, we implore the field to hold Weinstein to the same standards as any other academic. This article focuses on the problematic aspects of Weinstein discussing gender and utilizes modernized gender and heavy metal music methodology and theories.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.566
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.401
GPT teacher head0.332
Teacher spread0.070 · 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