“All the world’s a shopping cart”: Theorizing the political economy of ubiquitous media and markets
Bibliographic record
Abstract
Ubiquitous connectivity to networked information-communication technologies increasingly mediates social experiences of markets and retail environments. These conditions lead some marketing scholars to conclude that digital media are reaching their inevitable culmination: an omnipresent marketplace. They call this “ubiquitous commerce” (u-commerce). U-commerce annihilates constraints over markets; borders, cultural differences, and geography cease to impose friction on exchange. As part of a broader understanding of new media and marketing, u-commerce deserves attention from critical communication studies. In foregrounding concerns of space, time, and consciousness, u-commerce exemplifies a commercial theory of media and invites critique at the nexus of medium theory and political economy. The work of Harold Innis is uniquely suited to this task. This article contextualizes and identifies biases in the conceptual systems and infrastructures of u-commerce.
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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 | 0.003 | 0.004 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".