Theorizing the Costs of Self-Service Technologies and Co-Creation by Design
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
In this commentary we explore how, in a market system that increasingly demands the participation of consumers as co-creators through self-service technologies, these technologies pose significant challenges to various consumers. We call this increase in demand the ‘everyday-ification’ of co-creation and consider its effect on consumers who are either unwilling or unable to co-create value. We look at how marketers are motivated to persistently replace human labor with technologies, not to primarily benefit consumers, but to discipline consumer labor and to maximize profits and shareholder value. Through this lens we examine five key issues with self-service technologies. First, we discuss how costs and benefits associated with self-service technologies are unequally allocated, before addressing how consumers’ choices are managed, consumers’ rising sense of powerlessness and increased vulnerabilities, consumers’ service failure responsibilization, and the cybernetic bureaucracy of life through self-service technologies.
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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 | 0.004 | 0.001 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it