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Record W2292681357 · doi:10.18192/clg-cgl.v5i1-2.1458

Mapping Culture in the Waterloo Region: Exploring Dispersed Cultural Communities and Clustered Cultural Scenes in a Medium-sized City Region

2015· article· en· W2292681357 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCulture and Local Governance · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsWilfrid Laurier UniversityUniversity of Waterloo
FundersH2020 European Research Council
KeywordsThrivingCreative economyCreative CitiesPublicsCreative cityEconomic shortagePolitical scienceSociologyEconomyHumanitiesEthnologyCreativitySocial scienceArt

Abstract

fetched live from OpenAlex

Currently undergoing rapid growth due primarily to a thriving tech sector, the Waterloo Region is increasingly concerned with the attraction and retention of key labour talent. Aspects of the creative economy, such as vibrant cultural scenes, nightlife, public spaces, and leisure amenities have been specifically identified by key stakeholders as vital to the continued growth and success of the region. While creative people certainly live and work in the Waterloo Region, labour shortages linked to challenges of worker attraction and retention indicate that the current talent base is not sufficient to meet regional economic needs. In this article, we engage critically with creative economy typologies which have been taken up in local cultural planning and explore some of the gaps and oversights that such ‘one-size-fits-all’ creative city models have in medium-sized post-industrial urban centres. Analyzed through the lens of cultural mapping methodologies, the region offers a valuable case study as it works to rebrand itself, altering its cultural fortunes through concerted city-building efforts.Keywords: cultural mapping, scenes, liveability, urban planning, vibrancyRésumé: La région de Waterloo est préoccupée et ce, de manière croissante, par l’attraction et la rétention d’une main-d’oeuvre qualifiée en raison notamment de son prolifique secteur des technologies. Les aspects culturels de l’économie créative tels une vie culturelle riche, la vie nocturne, les espaces publics et les équipements de loisirs ont été identifiés comme des éléments essentiels par les parties-prenantes de la région comme des éléments essentiels au succès de la région. Alors que des acteurs de l’économie créative résident effectivement dans la région de Waterloo, la pénurie de main-d’oeuvre associée aux défis de l’attractivité et à la rétention du talent laissent entendre que les efforts actuels sont insuffisants pour rencontrer les besoins de la région. Dans cet article, les typologies de l’économie créative d’usage dans la planification culturelle locale seront abordées afin de mettre en relief les failles et lacunes de certains modèles peu adaptés aux espaces urbains de taille moyenne et aux centres urbains de type post-industriel. En se basant sur la méthodologie de la cartographie culturelle, cette étude de cas de la région offre plusieurs constats utiles à la compréhension des stratégies de production d’image de marque au niveau régional.Mots clé: cartographie culturelle, scènes culturelles, habitabilité, planification urbaine, dynamisme

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score0.991

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.176
GPT teacher head0.296
Teacher spread0.120 · 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