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Record W1495674462 · doi:10.1109/picmet.1991.183556

Structuring a firm's participation in the setting of information processing and telecommunications industry standards

2002· article· en· W1495674462 on OpenAlexaff
Antonio J. Bailetti, John R. Callahan

Bibliographic record

VenueTechnology Management : the New International Language · 2002
Typearticle
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsCarleton University
Fundersnot available
KeywordsStructuringProcess (computing)Plan (archaeology)Order (exchange)Power (physics)Technical standardKnowledge managementBusinessComputer scienceProcess management

Abstract

fetched live from OpenAlex

A framework for examining a firm's participation in the development of public standards is proposed. Individual and organizational actions are linked to the development of the standard through the internal standards collectivity which formulates and implements the firm's response to the standard and the external standards-setting collectivity which produces and approves the standard. The underlying order or structure of each collectivity is described by five components: network of relationships, technological guideposts, coordination arrangements, distribution of power, and shared beliefs and values. The framework is used to juxtapose six interactions between the firm and the standards-setting process which differ in terms of the end-objective for the interaction. The framework can be used to specify the motive for the firm's participation in the development of a standard, to communicate to executives the complexities involved in implementing a standards strategy, to plan the implementation of a standards strategy, and to organize new learning from experiences in standards setting.>

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)0.019
metaresearch head score (Gemma)0.017
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: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0040.003
Science and technology studies0.0120.016
Scholarly communication0.0180.010
Open science0.0020.007
Research integrity0.0040.003
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 head0.010
GPT teacher head0.289
Teacher spread0.279 · 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

Citations2
Published2002
Admission routes1
Has abstractyes

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