Cybersex as Affective Labour: Critical Interrogations of the Philippine ICT Framework and the Cybercrime Prevention Act of 2012
Bibliographic record
Abstract
This chapter examines the underside of the Philippine Information Society—the cybersex phenomenon. In looking at cybersex, we take stock of the Philippine ICT framework’s aim of building “a people-centered, inclusive, development-oriented Information Society” through the state promotion of Filipinos as “world-class” workers and citizens. We also look at how the Cybercrime Prevention Act of 2012 complements this state policy aspiration. We argue that the cybersex phenomenon in the Philippines illustrates how institutional development strategies could inadvertently already marginalized sectors of society. We use the perspective of affective labour to argue that, because ICT-led development failed for these sectors, the response is an illegal service industry that also makes use of, if not feeds off of, the same technological infrastructure largely supported by foreign capital. Cybersex is a potent example of how the marginalized learn to transform conditions of exclusion and illegality into creative, practical, and thus, productive strategies of survival. Cybersex is not the solution to achieving a decent quality of life, but the existence, persistence, up to the embodiment of the workers of this phenomenon signifies that the State’s vision of ICT for development is not living up to its promise of socioeconomic upliftment; and through the institutionalized uses of technology, a culture of creative ICT use is constrained rather than promoted. Cybersex thus foregrounds some problematic ramifications of the present ICT framework and the institutional mechanisms supporting it. It puts to question the goal of inclusive development in Philippine ICT policymaking and legislation, hinting at the risks and repercussions of creating an information society under the neoliberal market economy. Addressing this challenge, we propose, begins with a reconsideration of cybersex as a form of ICT-facilitated affective labour and learning from the multifaceted narratives that constitute informal uses of ICTs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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 teacher head, 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".