Bibliographic record
Abstract
In the 20th century, several scholars across different disciplines have explored the relations between sociality and the associated perceptions of time and space. This paper draws on their theories to study how the Facebook News Feed feature inscribes users with a certain kind of temporality and spatiality. Building on Manual Castells' characterization of online activities as a "temporal collage" it argues that, through the interactions with News Feeds, users encounter the desequencing of the temporality of their social space. It further analyzes a News Feed page as a temporal object as defined by Bernard Stiegler, and adopts his critique of cinematic time to reveal how this feature inscribes an "always on" behavior for users even when they are offline. It concludes by discussing the political significance of this temporality and spatiality in two different senses: the constant acceleration in the pace of life and online surveillance. It draws on David Harvey's concept of space-time compression to discuss the relations between the temporality of Facebook and capitalism, and on Anthony Gidden's time-space distantiation to discuss the power relations of online surveillance.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".