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IT firms' working time (de)regulation model: a by-product of risk management strategy and project-based work management

2013· article· en· W2752453579 on OpenAlex
Marie‐Josée Legault

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueWork Organisation Labour & Globalisation · 2013
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsUniversité du QuébecUniversité TÉLUQUniversité du Québec à Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsOvertimeWorkforceWork (physics)Product (mathematics)Unpaid workCapital (architecture)BusinessRisk managementLabour economicsEconomicsMarketingIndustrial organizationManagementEngineeringEconomic growth

Abstract

fetched live from OpenAlex

This paper, based on 140 interviews carried out in two case studies in Montreal over the past decade, builds on previous research results demonstrating the existence of unlimited unpaid overtime among videogame developers and software designers. It uses the two case studies to illustrate an emerging workplace regulation model based on unacknowledged unlimited and unpaid overtime. It argues that this model stems from the combination of information technology firms' risk management strategy with project-based working as an organisation mode and is closely tied to the high international mobility of both capital and workforce. This paper focuses just on the (de)regulation of working time, but it opens up a path to account theoretically for the (de)regulation of work more generally in an expanding sector of the workforce: ‘new professionals’ in knowledge work.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.658
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.031
GPT teacher head0.287
Teacher spread0.256 · 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