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Record W2079358836 · doi:10.1080/13668790802559676

Does Place Matter? Sustainable Community Development in Three Canadian Communities

2008· article· en· W2079358836 on OpenAlexaffabout
Ann Dale, Chris Ling, Lenore Newman

Bibliographic record

VenueEthics Place & Environment · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicPlace Attachment and Urban Studies
Canadian institutionsRoyal Roads University
Fundersnot available
KeywordsSense of placeSustainable developmentSpace (punctuation)Sustainable communitySense of communityEnvironmental ethicsCommunity developmentPhysical spacePolitical scienceSociologyGeographySocial scienceLawComputer science

Abstract

fetched live from OpenAlex

The creation of a sense of place has emerged as a goal of many community development initiatives. However, little thought has been given to the role of physical spaces in the shaping of possible senses of place. This article examines three Canadian examples of community sustainable development initiatives to demonstrate that sense of place can be shaped and constrained by the geographical and environmental features of the physical space a community occupies. This finding suggests that a ‘one-size-fits-all’ approach to community sustainable development is unlikely to be successful; a community's sustainable development ethic will be informed by geography. However, there is some evidence that a strong individual sense of place shaped by local space may act as a barrier to the acceptance of new people and ideas. Conversely, a strong sense of place can result in mobilization for sustainable development initiatives.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.921

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0490.012
Scholarly communication0.0040.001
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.058
GPT teacher head0.287
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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

Citations56
Published2008
Admission routes2
Has abstractyes

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