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Record W4387368711 · doi:10.1080/02697459.2023.2259752

Do young adults want to live downtown? Understanding attitudes in Prince George, BC

2023· article· en· W4387368711 on OpenAlexaffabout
Rylan Graham

Bibliographic record

VenuePlanning Practice and Research · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsDowntownGeorge (robot)PopulationGeographyPhenomenonBoomSociologyEconomic growthHistoryDemographyEngineeringEconomicsArchaeology

Abstract

fetched live from OpenAlex

Cities throughout North America are experiencing a population boom in the city centre, fueled by changing consumer preferences, particularly amongst young adults. However, not all communities have experienced this phenomenon equally. In Prince George, a mid-sized city located in northern British Columbia, the downtown has not undergone a population resurgence. Instead, development continues to expand outwards at the edge of the city. Using a web-based survey, this research seeks to better understand the attitudes of young adults in Prince George, to gauge their perspectives about living downtown, and to understand the factors that constrain market demand. Our findings indicate that respondents hold negative perceptions about the downtown, which leads to soft market demand and impedes plans for population growth in the downtown.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score0.425

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.207
GPT teacher head0.485
Teacher spread0.278 · 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

Citations5
Published2023
Admission routes2
Has abstractyes

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