Seeing Farmers' Markets: Theoretical and Media Perspectives on New Sites of Exchange in New Zealand
Bibliographic record
Abstract
Abstract In this paper we explore the extent to which a reciprocal relationship exists between contemporary theorisation about farmers' markets in geography and the rapidly expanding public discourse surrounding these sites of exchange in New Zealand. Activities branded as farmers' markets are seen widely as local phenomena of systemic significance for the understanding of evolving geographies of production, consumption and exchange. As something ‘new’ on the landscape, farmers' markets also attract attention in the media. An electronic database of significant print media contributions over the period 1995 to 2007 provides the empirical basis for an assessment of the extent to which theorisation and the public discourse address common themes. Our analysis indicates that, while the economic and social constructions in both the research literature and the media database share common themes, strong contrasts in ways of ‘seeing’ farmers' markets are apparent. We note the predilection in the print media to present the nature and purpose of farmers' markets through the personal experiences and ‘stories’ of participants. There is a tendency to focus on the appeal of markets to the consumers who form the readership base. The theorised alterity of the farmers' market, either in terms of production methods or motivations for consumption, is not reflected strongly in media reports, and this raises questions about ‘over‐theorisation’ in the academic literature. Our aim is to promote reflection in both the editorial offices of the media and in the academy by documenting the nature of these contrasting views.
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.009 | 0.038 |
| Scholarly communication | 0.021 | 0.020 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".