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Record W2044843862 · doi:10.3917/eh.051.0057

The Danish Welding Institute and FORCE technology, 1940-2005: technical standardization and the shaping of business

2008· article· fr· W2044843862 on OpenAlexaff
Lars Heide

Bibliographic record

VenueEntreprises et histoire · 2008
Typearticle
Languagefr
FieldSocial Sciences
TopicMetallurgy and Cultural Artifacts
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsDanishStandardizationWeldingInternational standardizationPolitical scienceEngineeringBusinessMechanical engineeringLawPhilosophy

Abstract

fetched live from OpenAlex

Résumé Cette contribution analyse les processus par lesquels trois régimes de standards techniques, nationaux et internationaux, ont façonné l’histoire du Danish Welding Institute (devenu aujourd’hui FORCE Technology) depuis la Seconde Guerre mondiale. La théorie des clubs avec adhésion volontaire est mobilisée afin de rendre compte des interactions complexes liant gouvernements nationaux et entreprises en matière d’écriture et d’application de standards. Cette théorie permet de mieux comprendre les différences existant entre les régimes de standards, le dernier régime ayant été établi dans le cadre du Marché Unique européen. L’article se conclut par une discussion sur leur rôle dans la formation de l’Europe.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.995
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0050.006
Scholarly communication0.0070.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.030
GPT teacher head0.264
Teacher spread0.234 · 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.

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

Citations2
Published2008
Admission routes1
Has abstractyes

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