Mapping Delhi’s Weekly Markets: An Explorative Study of <i>Hafta</i> Bazaars
Bibliographic record
Abstract
Weekly markets or ‘ hafta bazaars’ are an important part of India’s cultural and traditional milieu. These informal markets are held once a week at a particular place, within varying time slots, and cater to a diverse spectrum of consumers. Although these markets are important from both an economic and a cultural point of view, they have not been documented properly. A team of researchers has attempted to comprehensively document Delhi’s weekly markets by mapping their locations, products sold and the days and timings at which they are held. This article offers a geographical overview of these markets through the creation of an innovative web portal—the first such attempt to showcase and digitise these invincible economic hubs on a single platform. Lessons from this exercise could pave the way for future research to unearth the administrative and economic models that underpin the efficient and sustainable functioning of the hafta bazaars.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".