Connective labor and social media
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.043 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".