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Record W6921109326 · doi:10.6084/m9.figshare.7698428

Sense of Place as a Source of Tension in Canada’s West Coast Energy Conflicts

2019· article· en· W6921109326 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPlace Attachment and Urban Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSense of placeReputationNatural (archaeology)Energy (signal processing)Action (physics)FrontierPower (physics)IdeologyClimate change

Abstract

fetched live from OpenAlex

Canada’s west coast has been a hotspot of environmental conflict, most recently in defense of climate action and natural places under threat by energy development. This study examined sense of place as a source of tension in conflicts sparked by two energy proposals. The Bute Inlet run-of-river hydroelectric project would power British Columbia’s remote Central Coast, and the Trans Mountain pipeline expansion would transport bitumen from Alberta’s oil sands to tankers for export. Surveys, interviews, and mapping were used to investigate the depth and character of participants’ sense of favorite places and places expected to be affected by the projects, with appreciation, concern, and responsibility for nature as organizing themes. We discovered a regional, nature-centric sense of place on the south coast, and a sense of place among Albertans linked to that province’s oil and gas economy and its reputation as Canada’s chief breadwinner. Ties to natural places were found to underpin environmental advocacy by tapping into deep place connections as well as place connections conveyed through network ideologies and the protests themselves. We outline for consideration key characteristics of a regional sense of place, and offer ways to mitigate place-based economy versus environment conflicts.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.988

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.000

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 head0.024
GPT teacher head0.259
Teacher spread0.235 · 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
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
Published2019
Admission routes1
Has abstractyes

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