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Collective Capabilities Complete a Neighbourhood

2024· article· en· W4403279085 on OpenAlex
Liza Bautista, Aphrodite Bouikidis, Prabhi Deol, Farina Fassihi, Caislin L. Firth, Meg Holden, Mimi Rennie, Meridith Sones, Cherry Wong

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Planning and Policy / Aménagement et politique au Canada · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicComplex Systems and Decision Making
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsNeighbourhood (mathematics)Computer scienceMathematics

Abstract

fetched live from OpenAlex

This article argues for the need for attention to agency as well as structure in planning for complete neighbourhoods and communities, drawing upon collective capabilities theory and driven by a community-engaged research approach. While complete communities planning proposes to provide more fulsome social and physical infrastructure to residents in a context of urban growth and change in Canadian cities, contemporary efforts tend to neglect or disdain the agency and empowerment of residents. This logic and rationale for complete communities planning has shifted compared to the origins of neighbourhood planning in Canada, as will be exemplified here drawing upon the case of Vancouver. The application of the theory of collective capabilities in complete communities planning offers a path forward that is not naïve to the challenges posed by participatory planning and that views organizations other than the government as having collective capabilities to plan. We demonstrate the potential of this through the case of our community-engaged research partnership based at the South Vancouver Neighbourhood House. The project mobilized spatial and statistical research to document the extent of inequities and needs experienced in South Vancouver neighbourhoods as well as the collective capabilities of residents working through the neighbourhood house hub to provide essential services and do effective neighbourhood planning.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.828
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.083
GPT teacher head0.368
Teacher spread0.285 · 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