Public Pedagogy and Manufactured Identities in the Age of the Selfie Culture
Bibliographic record
Abstract
Abstract Education in society occurs across both formal and informal spheres of communication exchange. It extends from schools to diverse cultural apparatuses such as the mainstream media, alternative screen cultures, the Internet, and other spaces actively involved in the construction of knowledge, values, modes of identification, and agency itself. The modern era is shaped by a public pedagogy rooted in neoliberal capitalism that embraces consumer culture as the primary mechanism through which to express personal agency and identity. Produced and circulated through a depoliticizing machinery of fear and consumption, the cultural focus on the pursuit of individual desires rather than public responsibilities has led to a loss of public memory, democratic dissent, and political identity. As the public sphere collapses into the realm of the private, the bonds of mutual dependence have been shredded along with the public spheres that make such bonds possible. Freedom is reduced to a private matter divorced from the obligations of social life and politics only lives in the immediate. The personal has become the only sphere of politics that remains. The rise of the selfie as a mode of public discourse and self-display demands critical scrutiny in terms of how it is symptomatic of the widespread shift toward market-driven values and a surveillance culture, increasingly facilitated by ubiquitous, commercial forms of digital technology and social media. Far from harmless, the unexamined “selfie” can be viewed as an example of how predatory technology-based capitalism socializes people in a way that encourages not only narcissism and anti-social indifference, but active participation in a larger authoritarian culture defined by a rejection of social bonds and cruelty toward others. As with other forms of cultural and self-expression, the selfie—when placed in alternative, collective frameworks—can also become a tool for engaging in struggles over meaning. Possibilities for social change that effectively challenges growing inequality, atomization, and injustice under neoliberalism can only emerge from the creation of new, broad-ranging sites of pedagogy capable of building new political communities and drawing attention to anti-democratic structures throughout the broader society.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.072 |
| Scholarly communication | 0.019 | 0.015 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".