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Record W7033135521

Planning and well-being: Aesthetic perceptions in a deindustrializing landscape

2015· other· en· W7033135521 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueYork University Digital Library (York University) · 2015
Typeother
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacy and Medical Practices
Canadian institutionsnot available
Fundersnot available
KeywordsDeindustrializationContext (archaeology)Neighbourhood (mathematics)PerceptionOil refineryPlacemakingSituatedSkyline
DOInot available

Abstract

fetched live from OpenAlex

Halifax has experienced an uneven landscape of deindustrialization since the late 1970's. Theformer city of Dartmouth, now a planning region within greater Halifax, is an area which has remained quite industrial relative to the Halifax peninsula. The Imperial Oil refinery was a part of this remnant industrial landscape. Situated in the neighbourhood of South Woodside, the refinery has been a prominent feature on the waterfront skyline for almost a century. It is understood, appreciated, and despised differently according to different actors and observers— creating both stigmatization, wonder. The impacts of its presence are similarly dispersed. The refinery closure was met with sadness, ambivalence, but also, quite a bit of relief. The dynamics between lived experiences, and the broader global context and forces, shape future possibilities for community development, and there is a the tendency for poor engagement among different acting bodies—a function of an entrepreneurial mode of development. The poor coordination of planning efforts, and imbalanced power in decision making has resulted in a disengaged community. If justice were to be restored in land use decisions, there is potential to both restore well-being in a stigmatized community and take advantage of synergies between community capacity building and industrial development.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.073
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.077
GPT teacher head0.321
Teacher spread0.245 · 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