Networked Publics: The Double Articulation of Code and Politics on Facebook
Bibliographic record
Abstract
Through three case studies of online political activism on Facebook, this article conceptualizes the deployment of issue publics (Lippmann, 1993; Marres, 2005) on Facebook. We argue that issue publics on Facebook come into being through a specific set of double articulations of code and politics that link and reshape informational processes, communicational constraints and possibilities, and political practices in different and sometimes contradictory ways. Using Maurizio Lazzarato’s exploration of immaterial labour (2004), we demonstrate the need to further understand the networking of publics and their issues by considering how online platforms provide the material, communicational, and social means for a public to exist and therefore define the parameters for assembling issues and publics and circumscribe a horizon of political agency.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.019 | 0.028 |
| Scholarly communication | 0.012 | 0.018 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".