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Record W188341945 · doi:10.29173/alr109

Ambiguity and the Amendments to the Alberta Land Stewardship Act

2012· article· en· W188341945 on OpenAlexfundvenueaboutno aff
Maria Lavelle

Bibliographic record

VenueAlberta Law Review · 2012
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
FundersUniversity of Calgary
KeywordsStewardship (theology)Law and economicsAmbiguityLegislationProperty (philosophy)Environmental ethicsLiberalismPolitical scienceLawPublic administrationEconomicsEpistemologyPhilosophyPolitics

Abstract

fetched live from OpenAlex

Recent amendments to the Alberta Land Stewardship Act (ALSA) are ambiguous, and the amended Act risks being interpreted in such a way as to undermine the purpose of Alberta’s Land-use Framework (LUF) and result in more land use planning controversy. The LUF is intended to ensure the future economic growth of the province balanced with the achievement of societal and environmental goods. The LUF can be understood as reflecting a modern liberal approach to land use planning such that government regulation is applied to all property, whether publicly or privately owned. This article argues that the resulting amendments are ambiguous and could be interpreted as reflecting a different understanding of property rights rooted in classical liberalism. The result is that the amended ALSA might not be interpreted in such a way that furthers the goals of the LUF. This article suggests that if the legislation is intended to implement the LUF, then any amendments to the ALSA should be unambiguously consistent with the underlying values of the LUF. It also suggests areas where the processes under the Act could be made more open and transparent so as to be more coherent with modern liberalism.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.199
Threshold uncertainty score0.401

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.019
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0120.020
Scholarly communication0.0110.003
Open science0.0030.003
Research integrity0.0110.010
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.242
Teacher spread0.225 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations6
Published2012
Admission routes3
Has abstractyes

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