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Record W123516847 · doi:10.7202/701540ar

La « sous-filière » bureautique dans l’ensemble électronique : Perspectives internationales

2005· article· en· W123516847 on OpenAlexaffvenue
Roger Guir

Bibliographic record

VenueÉtudes internationales · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicInformation Technology and Learning
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsDivision of labourAutomationOrder (exchange)Division (mathematics)Channel (broadcasting)Perspective (graphical)Industrial organizationTelecommunicationsPolitical scienceBusinessEngineeringEconomicsEconomic systemSociologyComputer scienceMechanical engineeringMarket economyMathematicsFinance

Abstract

fetched live from OpenAlex

In an age of electronic revolution, the conditions for global specialization have changed, be it from the nation's or from the fîrm's perspective. The logic behind the productive System is today even more integrative and systemic, hence upsetting the methods and concepts of economic and strategic analysis. In focussing on the sphere of office-automation in the channel of electronics, the analytical framework used has been that of a « sub-channel » in order to define the interdependence and the effects of the technological synergy which are characteristic of office-automation, and to deduce the major trends in the international division of labour. Thus the use of a new, more comprehensive channel appears to be better suited for the analysis of future trends in the international division of labour.

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)0.003
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0030.012
Scholarly communication0.0110.012
Open science0.0010.003
Research integrity0.0030.006
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 head0.309
Teacher spread0.296 · 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
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

Citations1
Published2005
Admission routes2
Has abstractyes

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