National standards strategy: public/private cooperation for global competitiveness
Bibliographic record
Abstract
Purpose Establishing timely national product design standards is an important cooperative activity capable of capturing economic benefits from having the national product design standard adopted for global commerce. The purpose of this paper is to undertake an exploratory analysis of five global economic powers' – Canada, Germany, Japan, the UK, and the USA – national standards strategy (NSS), comparing them for commonality in institutional standards setting policy approaches, i.e. there should be a general “convergence” in specific NSS policy initiatives among similar, economically developed countries. Design/methodology/approach The five national standards strategies are evaluated for distinctive policy initiatives, with common policy initiatives combined, resulting in 18 distinctive policy initiatives found among the surveyed population. Each national standard strategy is then compared to the 18 policy initiatives, with commonality recorded. Findings Contrary to any preconception that economies considered comparable in economic development would tend to converge around similar NSS policy initiatives, the evidence reveals there is less harmonization (the results show convergence is overwhelmingly in the moderate/low categories – 14 policy initiatives, or 77.8 percent), with initial evidence indicating that the degree of public or private institutional involvement in technology standards setting may affect the types of policy initiatives included in a NSS. Research limitations/implications The paper is exploratory in nature, with only five nation‐states in the survey. Practical implications The paper provides insight into: the strength of a country's NSS versus a competitor nation; and public and private sector development of the national innovation system. Originality/value The paper offers an exploratory evaluation of harmonization of NSS across countries and its significance to the national innovation system and global competitiveness.
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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 | 0.029 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".