Bibliographic record
Abstract
The rapid rise of the tween, an influential market-constructed demographic of youth between the ages of 8 and 13, raises several questions. How and why did the tween emerge? How do we account for this downward trend in marketing and the corporate targeting of younger and younger children? And most importantly, for the purposes of my argument, what role has immaterial labor played in demarcating this new category of youth? Initially, Hardt and Negri theorized the shift of production outside the factory walls; this diffused, expanded and intensified production now accounts for new modes of sociality and hence modalities of subjectivization required for capital’s reproduction. As such, the concept of immaterial labor, beginning with Maurizio Lazzarato and extended by Hardt and Negri, is paramount for accounting for new subjective formations such as the tween. This paper illustrates the intensification of immaterial labor by examining how the tween has already “learned to immaterial labor 2.0”. By so doing, it examines the synergy that flows out of the ease in which this demographic moves between the virtual and the material and the marketing practices used to engage and capitalize on their mediated cultural practices.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.044 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".