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Record W7074676541

Connective labor and social media: Women's roles in the 'leaderless' Occupy movement

2014· article· en· W7074676541 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicTheoretical and Computational Physics
Canadian institutionsnot available
Fundersnot available
KeywordsMovement (music)Social movementSocial mediaDimension (graph theory)Key (lock)
DOInot available

Abstract

fetched live from OpenAlex

This article draws upon the insights of 75 Occupy activists from Toronto and across the United States interviewed as part of the 3-year study 'Social Media in the Hands of Young Citizens'. This article highlights three major roles adopted by women in the so-called leaderless, horizontally structured Occupy movement - both within the offline, face-to-face General Assembly meetings held during the Occupy encampments and within the online spaces of Facebook pages, Web sites, affinity groups, and working committees. As key participants in the movement, women used social technologies such as Facebook, Twitter, and livestreaming as modes of activist engagement, developing unique roles such as that of the 'Admin' (Social Media Administrator), the 'Documentarian', and the 'Connector'. The women's adoption of these roles illustrates, we argue, the emerging notion of 'connective labor' an extended enactment of Bennett and Segerberg's (2012) notion of 'the logic of connective action', augmenting its logic to reveal the often hidden labor of women in sustaining the networked and affective dimension of social movements. This article highlights the gendered, hybrid, embodied, and material nature of women's connective labor that has supported, and in many ways sustained, the contemporary Occupy movement.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0200.032
Scholarly communication0.0100.005
Open science0.0010.010
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.010
GPT teacher head0.221
Teacher spread0.211 · 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 designObservational
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

Citations0
Published2014
Admission routes1
Has abstractyes

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