MétaCan
Menu
Back to cohort
Record W7052202219

REBUILDING OUR WATERS: An alternative view of Ontario cottage country through models of community engagement and shared environmental stewardship.

2021· dissertation· en· W7052202219 on OpenAlexaboutno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2021
Typedissertation
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousContext (archaeology)Work (physics)StakeholderLocal communitySocioeconomic statusCommunity engagementCommunity organizationCommunity development
DOInot available

Abstract

fetched live from OpenAlex

Cottaging is a ‘summer-home’ tradition for many Canadian families and plays an important role in Ontario’s cultural and provincial identity. The North-Hastings – East Haliburton area is a popular cottage destination; however it is also a place of struggle and hardship. There are socioeconomic and geographical tensions resulting from inequalities between local residents, Indigenous communities, seasonal cottagers, and the ecological landscape. This thesis considers each group’s history, contemporary situation, and social relationships within the context of the broader region. In the early research stage, a contentious through-line became immediately evident across each stakeholder group: that is the lake, its shores, and who can access them. Here, architecture navigates these complex social dynamics by reimaging shoreline locations as models for community engagement and shared environmental stewardship. Four design proposals were developed in conjunction with real-world community initiatives at sites along Baptiste Lake, Ontario. Each concept addresses one of the stakeholder’s plights while still being open to all other groups. The goal has been to create spaces that celebrate the landscape without forgetting the people integral to its formation and continued survival. So far very little research has been conducted about Southern Ontario cottaging and its effects on local communities. Their struggles are often glossed over or outright ignored in municipal planning and property development. Although these proposals are hypothetical, they work to motivate realistic change in Ontario’s cottage country.

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)0.002
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.243
Threshold uncertainty score0.489

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0160.031
Scholarly communication0.0120.007
Open science0.0030.007
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.029
GPT teacher head0.217
Teacher spread0.188 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueUWSpace (University of Waterloo)Same topicPlasma Diagnostics and ApplicationsFrench-language works237,207