Collectivizing Convenience?:From Delivery to Logisticality
Bibliographic record
Abstract
By characterizing Amazon’s convenience as logistical, as convenience delivered, the contribution points to the entanglement between logistics, planning and convenience at Amazon. Where critical commentary has established the costs of convenience in terms of labor exploitation and consumer surveillance, the contribution contends that Amazon’s convenience furthermore implies a logistification of life, which largely evacuates collectivity. The contribution subsequently challenges celebrations of Amazon’s logistical convenience, and suggests that a potential collectivization of convenience demands a more specific reckoning with convenience delivered. If Amazon’s convenience is logistics in disguise, and if the techniques and operations of Amazon’s logistics are fundamentally counter-collective, then Amazon’s convenience cannot simply be collectivized. Instead, it must be confronted with logisticality, that is, the collective capacity to organize life without logistical planning. Logisticality defies logistical convenience, and may bring forth a different kind of convenience.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.019 |
| Scholarly communication | 0.011 | 0.019 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".