The Phoneur: Mobile Commerce and the Digital Pedagogies of the Wireless Web
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
Corporate data collectors track every move you make on the electronic landscape, recording your m-commerce phone habits only to sell them back to you through advertising that entices you to spend more. Think of these phones as a kind of remote-controlled radio collar—like the ones scientists use to monitor the behaviour of the animals they study. The move toward mobile commerce, or m-commerce, still nascent in North America, is an attempt to create a worldwide datastructure built on the premise of consumption. The habit@ is the electronic environment—and the sociocultural conditions—of the wireless and worldwide webs (W4 and W3). Within it, “The structures constitutive of a particular type of environment … produce habitus, systems of durable, transposable dispositions, structured structures predisposed to function as structuring structures” (Bourdieu, 1977, p. 72; 1990). These structures are the invisible data collection mechanisms that track user habits through the data flows of electronic identity formation, and sell these habits back to the user in the form of “push” advertising.2 “There is no fixed self, only the habit of looking for one” (Wise, 2000, p. 303), and this habit of looking is our habit@on-line. The wireless habit@ is constituted in the patterns of our mobile browsing behavior, which is in turn repackaged and re-presented as a demographic representation of how we will engage the spending process, how we will actualize ourselves as desiring-machines (Deleuze and Guattari, 1983). The habit@ is becoming the marker of social distinction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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