MétaCan
Menu
← Back to cohort
Record W4379390877 · doi:10.32920/23296337.v1

Small Town Creative Communities of Conviviality: A Case Study of Sackville, New Brunswick

2023· preprint· en· W4379390877 on OpenAlexaboutno aff
max cotter

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsThe artsCreativitySmall townPopulationSociologyVisual artsArtPolitical scienceSocioeconomicsLaw

Abstract

fetched live from OpenAlex

This project uses Sackville, New Brunswick as a case study for small town creative communities, exploring the advantages and disadvantages of small towns for cultural workers, also offering insight into what draws artists to these communities. A tension exists between cultural producers and urban life, as the rising cost of living in cities jeopardizes affordable rent for arts venues and housing for cultural workers. The town of Sackville is home to a liberal arts university, artist-run centres, galleries, music festivals, and many urban expat artists, with a cost of living well below that of cities. Engaging Sackville’s artist population to collect oral histories, this project identifies themes regarding their reasoning for seeking out a small town community. Culminating in an hour-long audio documentary, this project addresses how smaller communities foster creativity, collaboration, and conviviality, and how a lower cost of living and rural landscape impact the cultural producer.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.405

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0200.007
Scholarly communication0.0050.002
Open science0.0040.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.281
GPT teacher head0.362
Teacher spread0.080 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicCultural Industries and Urban Development→French-language works237,207→