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Record W2289448264 · doi:10.18192/clg-cgl.v5i1-2.1466

Neighbourhood Cultural Mapping: Lessons Learned from a Pilot Project in Bayshore

2015· article· en· W2289448264 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.

venuePublished in a venue whose home country is Canada.
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

VenueCulture and Local Governance · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsNeighbourhood (mathematics)GeographyImmigrationDiversity (politics)SociologyCultural diversityHumanitiesAnthropologyArtArchaeology

Abstract

fetched live from OpenAlex

The cultural mapping project in Bayshore was the first of three neighbourhood cultural mapping pilot projects in Ottawa. City-wide cultural mapping in Ottawa had shown Bayshore to have few cultural resources, and socio-economic indicators had shown Bayshore to be a low-income neighbourhood that faced many problems. However, discussions with neighbourhood residents told a different story. Bayshore has many cultural resources, though they are often intangible. Its residents benefit from the neighbourhood’s cultural diversity, as it is one of the most diverse neighbourhoods in the city. Informal networks have been established in Bayshore that provide support to new immigrants, and a wide variety of specialty stores and restaurants have been established nearby to serve this diverse community. The neighbourhood’s diversity may also be supporting the development of a creative cluster nearby. The Bayshore project forced the City’s cultural mapping team to re-think the way culture is defined and categorized.Keywords: neighbourhood cultural mapping, intangible cultural assets, informal networks, cultural diversity, creative clusterRésumé: Le projet de Bayshore est le premier de trois projets pilotes de cartographie culturelle initiés à la ville d’Ottawa. Une cartographie culturelle à l’échelle de la ville a révélé que le quartier de Bayshore était moins doté au plan de ressources culturelles que d’autres quartiers de la ville. De plus, les indicateurs révèlent que le quartier en question est également un quartier à faible revenu qui est confronté à plusieurs problématiques sociales et économiques. Cependant, des entretiens auprès des résidents du quartier nous offrent une autre perspective. Ces entretiens révèlent notamment que les ressources culturelles de Bayshore sont sous-estimées puisqu’elles sont souvent intangibles. Il est révélé que les résidents du quartier tirent profit de la diversité du quartier le plus culturellement diversifié de la ville. Bayshore se caractérise par une diversité de réseaux sociaux informels et par une grande diversité de commerces et de restaurants. Cette grande diversité serait un facteur qui participerait au développement d’une grappe créative dans un quartier voisin. Cet article met en évidence plusieurs constats qui nous invitent à revoir et repenser comment la culture est construite et modélisée dans le cadre des projets de cartographie culturelle.Mots clé: cartographie culturelle d’un voisinage, ressources culturelles immatérielles, réseaux informels, diversité culturelle, groupement créatif

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.419
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.191
GPT teacher head0.343
Teacher spread0.152 · 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