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Record W2006834583 · doi:10.1386/macp.4.1.71_1

The Lady revolution in the age of technology

2008· article· en· W2006834583 on OpenAlexaff
Janni Aragón

Bibliographic record

VenueInternational Journal of Media and Cultural Politics · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsGlobePoliticsICTSMedia studiesPolitical actionAction (physics)Information and Communications TechnologyEvent (particle physics)Word of mouthCall to actionSociologyPolitical sciencePublic relationsAdvertisingLawPsychologyBusiness

Abstract

fetched live from OpenAlex

Girls and young women are participating in unconventional forms of political participation through Ladyfests. The first Ladyfest took place in 2000 in Olympia, Washington, United States. Ladyfests are activist-oriented festivals that include art, spoken word, music, workshops, artisan fairs, and other performances. Since the first Ladyfest there have been approximately one hundred and twenty spanning the globe. I argue that Ladyfests provide the organisers and attendees alternative communities to network, educate, share information, and build offline and online communities. This form of contemporary cultural activism relies heavily on engaging culture as a means of both commentary and action. The use of Information and Communication Technologies (ICTs) by girls and young women is on the rise, including as activist and networking tools. Ladyfesters are web savvy and use ICTs to organise the events, share information about their Ladyfest and others, as well as build networks after the event.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.014
Scholarly communication0.0120.012
Open science0.0010.008
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0180.004

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 head0.039
GPT teacher head0.329
Teacher spread0.290 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations15
Published2008
Admission routes1
Has abstractyes

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