How alternative consumer markets can build community resiliency
Bibliographic record
Abstract
Purpose Time banking is a form of alternative consumer market where members trade services, non-reciprocally creating a local marketplace for services. Time Banks facilitate dyadic exchanges, meeting members’ practical needs and building diverse skills. The purpose of this research was to determine the broad capabilities developed in the Time Bank economy, and to demonstrate how these capabilities were mobilised following a series of earthquakes, contributing to the larger community’s resiliency. Design/methodology/approach Taking an ethnographic approach, data were collected using a variety of methods including interviews, focus groups, participant observation and secondary research. Findings Over time, this alternative consumer market developed a significant communication and social network that members activated to solve diverse practical problems facing the community. Similar to other exchange communities, the Time Bank also fostered a strong sense of community based on reciprocity and egalitarian values. Although the Time Bank was created as a marketplace to exchange local services, during a series of devastating earthquakes, it galvanised adaptive capacities, increasing the resiliency of the local community during disaster relief and reconstruction. Research limitations/implications The data were drawn from one alternative exchange system in New Zealand. Practical implications The study shows how grassroots alternative consumer markets like Time Banks build community capacities alongside the formal economy. During normal times, this system meets consumer needs, but in extraordinary times, this system provides community shock absorbers, thereby enhancing community resiliency. Social implications The Time Bank was particularly adept at leveraging local knowledge to provide social support to those residents who were most vulnerable. Originality/value Data were collected before, during, and after the earthquakes, providing a rare opportunity to explore the process of community resiliency in action. This research extends existing theories of community resiliency explaining the development and activation of capacities by a local alternative consumer market.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.002 |
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".