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British Columbia Divided its Agricultural Land Reserve into Two Zones (2014-2019)

2023· article· en· W4313648343 on OpenAlexafffundvenueabout
David J. Connell, Cameron Kral

Bibliographic record

VenueCanadian Planning and Policy / Aménagement et politique au Canada · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Economics and Policy
Canadian institutionsUniversity of Northern British Columbia
FundersReal Estate Foundation of British Columbia
KeywordsAgricultureAgricultural landMainlandGeographyLegislatureCommissionLand useAgricultural economicsGovernment (linguistics)Exclusive economic zoneDiversity (politics)BusinessEconomicsPolitical scienceLawArchaeologyEcologyFinance

Abstract

fetched live from OpenAlex

Since its inception in 1973, the Agricultural Land Reserve (ALR) in British Columbia remained a single zone, with the same rules used in every decision made by the Agricultural Land Commission (ALC). In 2014, Bill 24 divided the ALR into two zones, with each zone governed by different rules. Zone 1 included the Lower Mainland, Vancouver Island, and the Okanagan regions. Zone 2 covered the rest of the province, which was about 90% of the ALR. The Government changed the legislative framework to reflect the diversity of the agricultural land base and to give farmers in Zone 2 more flexibility to earn non-farm income from their agricultural land. In 2019, the ALR was returned to a single zone with a single set of rules. Given its historical significance, we evaluated the effects of Bill 24 and found little evidence that the new rules influenced Commission decisions. Understanding why Bill 24 had little effect provides important insights about creating effective land use policy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score0.678

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.239
Teacher spread0.224 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes4
Has abstractyes

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