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Record W4414225569 · doi:10.2307/jj.25941147.8

There Aren’t Any Women Producers

2025· book-chapter· en· W4414225569 on OpenAlexaboutno aff

Bibliographic record

VenueBristol University Press eBooks · 2025
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsExpansiveThe InternetLine (geometry)Popular musicPeriod (music)Plan (archaeology)Radio program

Abstract

fetched live from OpenAlex

It's Time to Draw the Line Jacki- E is a UK- based DJ and producer based in Northampton, UK. Every single week from April 2018 to October 2024 she has researched, compiled, recorded and broadcast an episode of Draw the Line – a two- hour show aired on internet radio stations in the UK and Canada with the express aim of raising the profile and increasing awareness of women, trans and non- binary electronic music artists. As the name of the show suggests, it's a call to arms – ‘It's Time to Draw the Line’ under the cis- male domination of electronic music and do something concrete to bring about change. Each episode of Draw the Line starts with a one- hour mix from Jacki- E herself playing only music made by non- cis- male producers. In the second hour she airs a mix prepared by a guest DJ from the worldwide, female and gender- expansive community. During the series’ run, Jacki- E produced over 300 shows, which is astonishing stamina and shows quite remarkable dedication. In my experience, once you know what you’re doing, it takes at least a full day to research, plan and record a radio show, plus hours spent trawling online record stores and social media to find music to play. There is also the financial outlay to buy that music and then you pay the radio station for your airtime. Quite simply, Draw the Line has been a huge labour of love gifted by Jacki- E to the electronic music community. You only need to listen to an episode to hear new music by new artists, all from under- represented genres curated and collated into one place.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.829
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.182
Teacher spread0.164 · 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 teacher head, 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
Published2025
Admission routes1
Has abstractyes

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