Exploring Agrihoods: A Non-Traditional Form of Master Planned Communities Focused on Agriculture
Bibliographic record
Abstract
<p>Developments across North America have integrated an agricultural component into their masterplanned community as an attempt to retain agricultural land uses or increase local food production. These agricultural communities are known as "agrihoods", which are residential or mixed-use communities that include some sort of agricultural activity. It is crucial for urban planners to understand the agrihood model as it provides an opportunity to advance sustainable development and strives to balance the competing forces of farmland preservation and growth pressures. This research used a mixed-methods approach to examine a total of 41 suburban and rural agrihoods across North America. Results from this research explore whether agrihoods are an alternative development model that addresses farmland preservation and suburban sprawl, along with presents the benefits and adverse impacts of agrihoods and the land use policies influencing the development of an agrihood in the County of Brant, Ontario, Canada.</p>
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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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".