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Record W2527711858 · doi:10.36939/cjur/vol25no1/art27

Preserving Ottawa’s Metropolitan Nature: How the 1970 Gatineau Park Planning Controversy Transformed the National Capital Commission and its Conservation Park

2016· article· en· W2527711858 on OpenAlexaffvenueabout
Michael Lait

Bibliographic record

VenueCanadian journal of urban research · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicAmerican Environmental and Regional History
Canadian institutionsCarleton University
Fundersnot available
KeywordsCommissionWildernessNational parkEnvironmental planningRecreationUrbanizationPublic administrationPolitical scienceGeographyEconomic growthLawEcologyArchaeology

Abstract

fetched live from OpenAlex

Although the National Capital Commission claimed to administer Gatineau Park according to a conservation policy, the 1960s saw numerous urban-type developments in the park and NCC planners emphasizing the park’s recreation potential. Th is paper describes how the 1970 Gatineau Park planning controversy sparked by conservationists opposed this policy reversal and forced the NCC to abandon blueprint planning. This paper then examines relations between the NCC conservationists from the time of the planning controversy to the first Gatineau Park master plan. Drawing from Arnstein’s ladder of citizen participation, it is argued that, during its transition to participatory planning, the NCC placated conservationists, receiving their input but not alwaysinfluenced by it. Thus, conservationists were disappointed by the first master plan, both its process and content. While they continue to play an important watchdog role in the park’s management, and regularly participate inNCC planning exercises, conservationists have been unable to secure protective legislation for Gatineau Park. The status quo remains, such that the NCC can alter park policy without parliamentary oversight. Meanwhile, the park’s wilderness character remains threatened by urbanization pressures.

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)0.002
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.837

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.040
GPT teacher head0.280
Teacher spread0.240 · 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

Citations6
Published2016
Admission routes3
Has abstractyes

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