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Regulation and Policy Reforms

2010· book-chapter· en· W2484101795 on OpenAlexaff
Sylvie Albert, Don Flournoy, Rolland LeBrasseur

Bibliographic record

VenueIGI Global eBooks · 2010
Typebook-chapter
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsLaurentian University
Fundersnot available
KeywordsPublic policyBusinessThe InternetOpen governmentKey (lock)Government (linguistics)Public sectorPublic relationsPublic administrationOpen dataPolitical scienceEconomicsComputer securityEconomic growthComputer science

Abstract

fetched live from OpenAlex

This chapter examines the following ideas on regulation and public policy: • Information societies are enabled by regulations and public policies that support open communications; • Government, business and public sector collaboration is key to establishing policies that lead to economic and social development; • Open source applications, products and collaborative culture are accelerated by adopting universal technical standards; • To be sustained, accessibility to the Internet and keeping it free and open requires some vigilance; • Ways must be devised to assess the local impact of policy and regulations and to provide next steps.

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)0.011
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: Other · Consensus signal: Other
Teacher disagreement score0.015
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0040.016
Scholarly communication0.0100.009
Open science0.0020.005
Research integrity0.0090.010
Insufficient payload (model declined to judge)0.0150.003

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.

Opus teacher head0.010
GPT teacher head0.234
Teacher spread0.224 · 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
GenreOther

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

Citations0
Published2010
Admission routes1
Has abstractyes

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