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Record W3197441589

Can Placemaking in Canadian Public Greenspaces Bring Suburban Communities Together? Case Studies of City Park Community Gardens in Mississauga, Ontario and Surrey, British Columbia

2020· article· en· W3197441589 on OpenAlexaboutno aff
Geena Richards

Bibliographic record

VenueYork University Digital Library (York University) · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicUrban Agriculture and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsPlacemakingGeographyPublic parkArchaeologyEnvironmental planningEthnologySociologyUrban designArchitecture
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this paper is to understand how placemaking in public greenspaces can help to build a stronger place identity for suburban communities. The paper addresses the research question, “how can planners encourage placemaking in public greenspaces?” by examining park community gardens in two cities, Mississauga, Ontario and Surrey, British Columbia, as case studies. I conclude that a more collaborative and inclusive approach is needed in the planning, design, and management of public greenspaces. I draw upon a conceptual framework based on environmental planning, radical planning, and resource mobilization theory, with a focus on three major themes of interest: the connection between community and nature, the typology of nature in a place, and people in the public realm. My investigation includes primarily virtual site observations and interviews using qualitative research methods. My research findings emphasize the significant role placemaking plays to help strengthen community ties between people and nature using community gardens in suburban city parks as a successful example.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.039
GPT teacher head0.165
Teacher spread0.126 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2020
Admission routes1
Has abstractyes

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