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Record W4235887736 · doi:10.22215/etd/2014-10277

Revisiting a Wilderness Architecture: A Child's Architectural Discovery of the Sensual Qualities of Golden Lake

2014· dissertation· en· W4235887736 on OpenAlexaboutno aff
Timothy Brazeau

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsnot available
Fundersnot available
KeywordsWildernessArchitectureState (computer science)ImmigrationWilderness areaGeographyOrder (exchange)Natural (archaeology)Closure (psychology)Political scienceEnvironmental ethicsSociologyLawArchaeologyEcology

Abstract

fetched live from OpenAlex

The closure of Camp Agawaten and its current state of disrepair present a lost opportunity for Canadians to enjoy the wilderness experience it had once offered in its prime. With the current dilapidated state of the camp, would a replication of the camp be the best revitalization for this site? The majority of Canadians, including new immigrants, continue to attribute Canada’s natural landscape as a fundamental characteristic of this nation. The aim of this project is to introduce the Canadian landscape to newly arrived immigrants and Canadians through the revitalization of Camp Agawaten, in order for people to connect with an important aspect of Canadian culture. The intent of this project is not to portray a generalized Canadian landscape, but instead to highlight the deep, sensual qualities of this site alone.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.200
Threshold uncertainty score0.401

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.014
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.003
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 head0.009
GPT teacher head0.248
Teacher spread0.239 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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