MétaCan
Menu
Back to cohort
Record W2785676730 · doi:10.22215/etd/2014-10253

From the Ground Up: The Alpine and Cross-Country Sportscapes of Gatineau Park, 1910-1967

2014· dissertation· en· W2785676730 on OpenAlexaffabout
Quinn Lanzon

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsCarleton University
Fundersnot available
KeywordsRecreationGeographyPopularityClubCommissionNational parkMountaineeringExperiential learningRegional scienceArchaeologyPolitical science

Abstract

fetched live from OpenAlex

Between 1910 and 1967 the Kingsmere-Camp Fortune area of Gatineau Park evolved from a permeable space of recreational trails and farm roads into two distinct sportscapes produced by the spatial requirements of alpine and cross-country skiing.This thesis examines how people interacted with the recreational landscape through sport, drawing upon Eichberg's 'body culture trialectic' and using the trail network as an experiential archive of sports geography.It describes how the homogeneous ski culture diverged as the meteoric rise in popularity of lift-assisted hill skiing concentrated the development of alpine ski infrastructure at Camp Fortune, creating a modern ski hill and monocultural sportscape there, while leaving the cross country community to develop a network of trails suited to the discipline's unique spatial needs.The thesis concludes that the National Capital Commission should recognize the history of the network of ski trails and hills developed by the Ottawa Ski Club.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.593
Threshold uncertainty score0.808

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.016
GPT teacher head0.332
Teacher spread0.316 · 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 designQualitative
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

Citations7
Published2014
Admission routes2
Has abstractyes

Explore more

Same topicSport and Mega-Event ImpactsFrench-language works237,207