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Banff 1972

2025· book-chapter· en· W4414470325 on OpenAlexaboutno aff
Russell Field

Bibliographic record

VenueUniversity of Illinois Press eBooks · 2025
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsWildlifeNational parkRecreationFraming (construction)BiddingEconomic Justice

Abstract

fetched live from OpenAlex

As cities lined up for the opportunity to host the 1972 Winter Olympic Games, Calgary/Banff, which had finished second to Grenoble in bidding for the 1968 Games, was considered the front-runner. But IOC President Avery Brundage, was inundated with letters from determined local residents opposed to the Calgary/Banff bid. Brundage was “at a loss to understand the attitude of the Banff people,” but as he told James Worrall, president of the Canadian Olympic Association, he had been “deluged with letters of protest against the Banff site from Canadian citizens and organizations.” These organizations included the Canadian Society of Wildlife and Fishery Biologists, which passed a resolution at its April 1965 Annual Meeting opposing the construction of sports facilities in Banff National Park as these were “incompatible with the primary function of National Parks” and “would cause serious localized changes in the environment.” Similarly, the World Wildlife Fund publicly regretted what it perceived to be Canada’s repudiation of nearly a century’s worth of leadership in parkland preservation. This chapter examines the key actors and issues in this largely unexplored moment in Canadian sporting and social justice history, focusing in particular on debates framing Banff National Park as recreational space versus a natural environment in need of protection.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.846
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.192
Teacher spread0.175 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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