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Record W2103238924 · doi:10.1177/0192512113494728

The Internet: A new route to good governance

2013· article· en· W2103238924 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Political Science Review · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Government Finance and Decentralization
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsThe InternetAccountabilityCorporate governanceScrutinyInternet governanceTransparency (behavior)PoliticsPublic relationsFunction (biology)BusinessPolitical scienceLawComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

In examining the relationship between Internet use and governance across different regime types, the article emphasizes the Internet’s potential to improve governance. Through a pooled time-series analysis of more than 170 countries with annual or biannual data from 1996 to 2010, we establish that countries with higher Internet penetration rates generally enjoy better, more stable governance, regardless of regime type. Our finding has both practical and theoretical implications. More practically, our results strongly entertain the possibility that the Internet improves access to information, accommodates pluralistic sources of information, and produces platforms for political discourse. Our findings also suggest that the Internet’s concomitant facility for reporting and scrutiny in the public sphere may encourage leaders to improve transparency and accountability. More empirically, the article introduces an additional variable to the good governance function, which should be included in future analyses.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.020
GPT teacher head0.348
Teacher spread0.328 · 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