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Smart City North: economic and labour force impacts of call centres in Sudbury, Ontario

2007· article· en· W3215653937 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWork Organisation Labour & Globalisation · 2007
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsOrder (exchange)BusinessGlobalizationEconomyEconomic growthEconomicsMarket economyFinance

Abstract

fetched live from OpenAlex

Geographers debate the value of telecommunications-mediated jobs (or ‘eWork’) for the economies of smaller, deindustrialised and rural areas. Against the backdrop of globalisation, various regions across Canada are courting knowledge-sector business development. Sudbury, a medium-sized northern Ontario city, has invested heavily in telecommunications infrastructure and touted its assets and resources to potential employers in order to help its ailing economy. Since the late 1990s, Sudbury has attracted some ten new call centres, with a combined labour force numbering about 4,000. In this article, we use Sudbury as a case study to consider the overall effects of eWork on a local labour force and a regional economy. From the combined perspectives of employers, unions, municipal planners, local economic development officials, and academic researchers, we assess the net impact of these new economy jobs.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.594
Threshold uncertainty score0.838

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.024
GPT teacher head0.316
Teacher spread0.292 · 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