Consensus and activism through collective exchanges: a focus on El Cambalache, Mexico
Bibliographic record
Abstract
Purpose The purpose of this paper is to explore how consensus decision making serves as a foundation for organizing an alternative economy while the agency of the economic project itself organizes participants because it serves to distribute resources as people need them and foment a community of sharing based on the concept that as individuals we are lacking but as a community we have enough. The paper asserts that as activists looking to foment change, alternative economic projects in themselves are actors in organizing community building and resistance to capitalism. Design/methodology/approach El Cambalache(The Swap in English), located in San Cristobal de las Casas, Chiapas, Mexico, is an exchange-based money-less economy that trades unwanted items as well as knowledge, abilities and skills that one wants to share. The project receives anything; specifically used, broken and/or unwanted electronics as well as just about anything else that one might possess. In exchange people provide laptop maintenance classes, language exchange, land to be worked, rooms, gardening services, objects, stories, etc. The rules in this money-less non-capitalist economy organize participation through one exchange or many. Findings Consensus decision making is an effective method for engaging in non-hierarchical research projects. Originality/value This project contributes to research in heterodox economies by presenting an original project with a new suggestion for exchange value as an inclusive process of exchange among participants in the economy. It also provides evidence that consensus decision making can be a useful and productive method for research.
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.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".