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Record W7056092174

Enterprise hegemony and embedded hierarchy network: The political economy and process of global compact governance in China

2013· other· en· W7056092174 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEconstor (Econstor) · 2013
Typeother
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
FundersInternational Development Research CentreJohn D. and Catherine T. MacArthur Foundation
KeywordsNucleofectionGestational periodTSG101Fusible alloyHyporeflexiaProteogenomicsHemopericardiumDiafiltration
DOInot available

Abstract

fetched live from OpenAlex

To understand and explain if the Global Compact initiatives really attract enterprises and how they could achieve the aims of making the enterprises self-regulatory, we must examine the motivations of the participants and determine if they changed their behaviors after joining the initiative. This paper investigates the determinants of Chinese enterprises' attitudes toward the United Nations Global Compact (UNGC) using interviews and data analysis of the Chinese participants of the UNGC, the Global Compact Local Network (GC LN), and government officials. The paper also assess es the role of hegemony enterprises and the embed ded hierarchy network in the UNGC governance. By insourcing the hegemony enterprises and outsourcing the "Regulatory Standard Setting" ( RSS) institute network within the regional political system, the UNGC can achieve the aim of global governance.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.833
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.215
Teacher spread0.210 · 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