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A Short Study of Iranian Organizations' Needs in the Area of Globalization: Opportunities, Challenges and Relative Advantages

2010· article· en· W1855829296 on OpenAlexvenueno aff
Mohammad Reza Noruzi, Jonathan Westover

Bibliographic record

VenueCross-cultural communication · 2010
Typearticle
Languageen
FieldComputer Science
TopicEconomic Growth and Development
Canadian institutionsnot available
Fundersnot available
KeywordsGlobalizationMultinational corporationLiberalizationDeveloping countryPosition (finance)Process (computing)BusinessRelation (database)Development economicsEconomic systemEconomic growthEconomicsMarket economy

Abstract

fetched live from OpenAlex

Globalization and liberalization in developing countries is a lengthy process that has been a long time in the making. Some countries have accepted the reality of globalization while other undeveloped nations have yet to fully embrace this shift. For some, this has been in part due to fears among some underdeveloped nations that embracing globalization and becoming increasingly connected to a global economic network would put them in a bad position with relation to other powerful countries and multinational firms. Iran is an example of a developing country trying to be competitive in an increasingly global economy. The aim of this paper is to identify the needs for Iran and Iranian organizations in the process of globalization, focusing on opportunities, challenges, relative advantages and practical guides.Keywords: Globalization; Local development; Opportunities and Challenges

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0030.007
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.053
GPT teacher head0.304
Teacher spread0.251 · 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 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
Published2010
Admission routes1
Has abstractyes

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