Restless platformance: How prosumer practices change platform markets
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Prosumers in many markets are increasingly using platforms for their inter-related production and consumption pursuits. Using a practice theory lens, this paper examines how the connections between the bundle of marketing practices performed by entrepreneurial prosumers in the craft market are altered when they come to rely on platforms like Etsy. It identifies a new practice, labeled “platformance,” that these prosumers adopt in response to changes in their practices bundle. Platformance is a restless practice in that it aims to alter the market in which it is embedded. Findings reported here suggest that platformance may help prosumers deal with platformization by changing certain market elements, but ironically may also increase their platform dependence. Platformance may also contribute to altering aspects of the platform markets in which it is performed.
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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 | 0.010 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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 it