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So Into It They Forget What Time It Is?

2012· book-chapter· en· W2499170503 on OpenAlexaffabout
Marie‐Josée Legault, Kathleen Ouellet

Bibliographic record

VenueIGI Global eBooks · 2012
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Downsizing and Restructuring
Canadian institutionsUniversité de MontréalUniversité TÉLUQUniversité du Québec à Montréal
Fundersnot available
KeywordsOvertimeWorkforceReputationWork (physics)PortfolioSanctionsBusinessPublic relationsLabour economicsEconomicsEngineeringPolitical scienceFinanceLawEconomic growth

Abstract

fetched live from OpenAlex

This chapter draws on 53 interviews from a case study led in Montreal in 2008 to demonstrate the existence of Unlimited and Unpaid Overtime (UUO) among video game developers and illustrate an emerging workplace regulation model of working time in the videogame industry. It brings to light a sophisticated and efficient system of rewards and sanctions, both material and symbolic, that drives professional workers in these trades to adopt a “free unlimited overtime” behavior despite the Act Respecting Labour Standards. Efficiency of this system is rooted in combined Project Management (PM) as an organisation mode and high international mobility of the workforce that both makes portfolio and reputation utterly important. This chapter focuses on (de)regulation of working time only, but it opens a path to theoretically account for (de)regulation of work among an expanding workforce: the “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.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.083
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.010
Scholarly communication0.0060.005
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.012
GPT teacher head0.213
Teacher spread0.202 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations17
Published2012
Admission routes2
Has abstractyes

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