MétaCan
Menu
Back to cohort
Record W2202467943 · doi:10.5539/ass.v11n27p256

Analysis of Victory Index at Telecommunications companies in Vietnam

2015· article· en· W2202467943 on OpenAlexvenueno aff
Do Huu Hai, Ngo Sy Trung, Phạm Văn Tuấn, Ho Sy Ngoc

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsVictoryIndex (typography)TelecommunicationsEconomicsBusinessBusiness administrationPolitical sciencePoliticsEngineering

Abstract

fetched live from OpenAlex

<p>This work is sponsored by a Vietnam National University Scientist Links (VNU – VSL project, entitled: “<strong>Analysis</strong><strong> of </strong><strong>Victory</strong><strong> </strong><strong>Index</strong><strong> </strong><strong>at</strong><strong> </strong><strong>Telecommunications companies in</strong><strong> </strong><strong>Vietnam</strong>” under the Grant Number QKHCN.15.0. <strong></strong></p>Currently, Vietnam telecoms market has dramatically shifted from the proprietary field to competitive one with all economic sectors, including with ones of foreign enterprises. The concentration on technology and services together with comprehensively international economic integration requires that each element of the market should have particular policies and strategies to maintain and improve market share for sustainability in the market economy. Hurwitz & Associates’ (2011) analysis methodology of victory index is used to analyze and evaluate current status, vision and development of influential corporations providing telecommunications services in Vietnam at present for giving objective assessments to consumers as well as a positive tool to providers to learn, research, maintain the competitiveness of each organization.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.273
Teacher spread0.241 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueAsian Social ScienceSame topicGlobal Trade and CompetitivenessFrench-language works237,207