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Record W4293502217

Special Economic Zones as a Factor in Ensuring Security of Social and Economic Development of the Territory

2018· article· en· W4293502217 on OpenAlexaboutno aff
И.Н. Макаров, Inna Kruglova, П.В. Назаров

Bibliographic record

VenueRePEc: Research Papers in Economics · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRegional Economic Development and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsSocial securityEconomic securitySpecial economic zoneBusinessFactor (programming language)Economic growthEnvironmental planningDevelopment economicsGeographyEconomicsComputer scienceMarket economyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

This article analyzes the tools of special economic zones as a means of ensuring security of socio-economic development of the territory. Considered Canadian experience of regional development on the basis of special economic zones and project forms of public-private partnership. Particular attention is paid to the interaction of special economic zones with different management tools of territorial development, in particular the system of indicative planning.

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)0.006
metaresearch head score (Gemma)0.010
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: Empirical · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0060.025
Scholarly communication0.0100.006
Open science0.0010.014
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.030
GPT teacher head0.274
Teacher spread0.244 · 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
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
Published2018
Admission routes1
Has abstractyes

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