MétaCan
Menu
← Back to cohort
Record W4238955866 · doi:10.32920/ryerson.14660307.v1

The Contemporary Common: Reinvigorating the Public Realm through Enhancing Topophilic Relationships

2021· preprint· en· W4238955866 on OpenAlexaboutno aff
Daniel Carey

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsnot available
Fundersnot available
KeywordsRealmPublic spaceSociologyInclusion (mineral)Urban designIdentity (music)Public relationsPlace identityPolitical scienceEnvironmental ethicsUrban planningSocial scienceAestheticsCivil engineeringArchitectural engineeringEngineeringLaw

Abstract

fetched live from OpenAlex

Urban neighbourhoods are experiencing an increase in density, placing greater importance on a vibrant and invigorated public realm. By focusing on enhancing place-based relationships, the quality of public spaces can be rejuvenated, improving social relations while creating an enhanced sense of community. The contemporary common is a multi-faceted public space that functions as a unifying platform for social inclusion, collective culture, and civic inculcation. This is accomplished through the use of topophilic design, a place-based design methodology that focuses on the creation of interventions that facilitate the definition of place. These ideas are tested through the establishment of a community hub within St. James town. The common has the potential to revitalize the public realm, attempting to enable culturally-rich spaces. Creating this identity for Toronto's public parks can improve civic formation, ultimately establishing neighbourhoods resilient to the current carceral archipelago of Toronto's urban green spaces.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.005
Scholarly communication0.0030.002
Open science0.0010.007
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.104
GPT teacher head0.293
Teacher spread0.190 · 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 designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

Explore more

Same topicUrban Green Space and Health→French-language works237,207→