Exploring social cohesion in public markets: a comparative case analysis
Bibliographic record
Abstract
Public markets have been observed to have the capacity to strengthen social cohesion, though there is minimal research that considers this association. The objective of this thesis is to investigate the relationship between social cohesion and public markets, with a focus on two markets in Ottawa, Ontario. These markets, the ByWard Market and the Parkdale Market, are both operated by the ByWard Market District Authority. Considering these markets in relation to one another allows for understanding of the factors that influence social cohesion in each place. This pragmatist research was inspired by ethnographic methods, while using semi-structured interviews for data collection, and thematic coding for data analysis. Participants’ experiences varied at both markets, with some feeling more connection to one or the other and expressing various reasons for attending. These findings suggest that the Parkdale Market facilitates considerable bonding social capital, contributing to a sense of belonging within the community. Conversely, the ByWard Market contributes considerable bridging social capital, encouraging engagement between diverse groups. While each market has a valuable role within the community, it is evident that they are complimentary to one another.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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; both teacher heads agree on what is shown here.
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".