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Navigating the seamless environment in the global supply chain: implications for Canadian regions and workers

2007· article· en· W3215506801 on OpenAlexaffabout
Penny Gurstein

Bibliographic record

VenueWork Organisation Labour & Globalisation · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNegotiationMultitudeWork (physics)Supply chainSociologySpace (punctuation)Scale (ratio)Quality (philosophy)BusinessComputer sciencePolitical scienceGeographySocial scienceMarketingEpistemologyEngineeringLawCartography

Abstract

fetched live from OpenAlex

When work is ‘boundless’ and ‘seamless’ where and how do workers' lives intersect with the space-time continuum of place-based communities? Who and what are they accountable to? Telemediation is fragmenting work across increasingly complex, transnational networks. Workers in these networks must negotiate through a multitude of temporal, contractual and trans-cultural milieus. This paper traces the trajectory of the work experience using case studies of telemediated work relationships in various points in the global supply chain and analyses the implications of telemediated spaces for the quality of workers' lives. Drawing on an analysis of case studies conducted by the EMERGENCE Canada project, this paper argues that telemediated work represents a shift in the scale at which many aspects of daily life unfold, and that some of the assumptions upon which workers’ lives are governed must be reconsidered.

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)0.004
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 score0.097
Threshold uncertainty score0.703

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0310.020
Scholarly communication0.0120.005
Open science0.0020.008
Research integrity0.0020.002
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 head0.018
GPT teacher head0.264
Teacher spread0.246 · 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

Citations5
Published2007
Admission routes2
Has abstractyes

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