MétaCan
Menu
Back to cohort
Record W2998395143

Company towns in Canada. An urban heritage offering a structuring role for 21st century society

2017· article· en· W2998395143 on OpenAlexaboutno aff
Lucie K. Morisset

Bibliographic record

VenueEntreprises et histoire · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsScope (computer science)StructuringPoliticsEconomyProcess (computing)BusinessPolitical scienceFinanceEconomicsLaw
DOInot available

Abstract

fetched live from OpenAlex

While company towns have been studied widely at international level, those located in Canada are not widely known. The companies involved were single industry firms and the company towns that they built were carefully planned with a view not only to accommodating employees but also to offer them all useful infrastructure needed for daily life. This included social, political economic domains as well as leisure activities. This article revisits this definition and its scope in comparison with other closely-related typologies. Two cases are studied in depth to highlight the specific characteristics of Canadian company towns : Powell River in British Columbia, built from 1908, and Arvida in Quebec, built from 1926. It concludes with a review of the current situation of these towns and of their potential future as part of a process of heritage designation that their inhabitants believe in.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.264

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0160.004
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.053
GPT teacher head0.228
Teacher spread0.176 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueEntreprises et histoireSame topicCultural Heritage Management and PreservationFrench-language works237,207