How Digital Platforms Materialize Sustainable Collaborative Consumption: A Brazilian and Canadian Bike-Sharing Case Study
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
Pollution, resource depletion, and to a lesser extent, global warming called into question mass consumption. Public policies, media broadcasters, tech giants, and supranational entities (e.g., United Nations) nudged societies into alternative consumption forms that have been deemed more sustainable, such as collaborative consumption (CC). This paper aims at proposing a theoretical–empirical model that explains the materiality of sustainable collaborative practices through bike-sharing. The study further analyzes how connections, mediations, and inductions occur between individuals, platforms, and providers in bike-sharing systems of Porto Alegre in Southern Brazil and Vancouver's bike-sharing in Canada. We tracked these actants using the Actor–Network Theory through 30 interviews with consumers and managers. The findings suggest a dynamic ecosystem of mechanisms that mediate interactions and enact “sustainable collaborative consumption (SCC)” through digital solutions and physical equipment. The results illustrate that SCC is positively influenced by three avenues: (1) sustainable individual actions, (2 ) digital platforms, and (3) sustainable physical equipment.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.004 | 0.004 |
| 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