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Record W2804109515 · doi:10.15302/j-laf-20170614

Phantom Ecolog y: Aesthetics, Ethics, and Ecology

2017· article· en· W2804109515 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLandscape Architecture Frontiers · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLand reclamationLandscape designOil sandsLandscape planningScale (ratio)GeographyEcologyArchaeologyEnvironmental resource managementEnvironmental planningAsphaltEnvironmental scienceCartography

Abstract

fetched live from OpenAlex

Visible from space, the Athabasca bituminous sands region of Northern Alberta, Canada, is currently being engineered at a scale equal to or greater than any other human landscape projects. This massive earth moving operation which at first glance could be confused for a regional urban development, has but one single objective: oil. Yet we do not see landscape architects engaged in the design and specifically the topographic shaping of these sites of extraction, production, waste, and reclamation. Nor are there many examples of landscape architects contributing smaller scale interventions that acknowledge the human occupation of these sites, their experience and material realities. Thus, ten rest stops are proposed to set in the working industrial landscape of the Athabasca bituminous sands, though they might not be built, to emphasize the importance of remembering that these landscapes already exist, showcasing the contemporary Canadian landscape.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.925

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 science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.241
Teacher spread0.229 · 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