Structuring a firm's participation in the setting of information processing and telecommunications industry standards
Bibliographic record
Abstract
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.>
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.012 | 0.016 |
| Scholarly communication | 0.018 | 0.010 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".