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Record W2907784203

Современное состояние г. Текели: aнaлиз положительных и отрицaтельных воздействий

2017· article· ru· W2907784203 on OpenAlexaboutno aff
Kulyash Kaimuldinova, Д Aлиaскaров, Е Кaлимбетов, A Aскербековa

Bibliographic record

VenueJournal of Geography and Environmental Management · 2017
Typearticle
Languageru
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsSustainable developmentLimitingBusinessDiversification (marketing strategy)Economic systemEconomyEconomicsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Study of territories with existing structure of industry and the determination of the direction of post-industrial development of territories is a topical issue for increasing the competitiveness of the Republic of Kazakhstan. They, in turn, will become a basis for the overall development of industry in the country. Compared to other cities with a multifunctional economy, the development of monotowns depends more on changes in the external environment, the state of the economy, the external market conjuncture, etc. This dependence is characterized as a blocking factor of sustainable development in our study. This article describes the current state of Tekelitown. As a result of analysis of key factors influencing the sustainable development of the town, a number of factors limiting the development of the town were revealed. The concentration of natural resources, physical and geographical features of the area are ighlighted as a priority for sustainable development; low level of diversification of the economy, accumulation of industrial waste, environmental threats are considered as a limiting factor in the development of the town. Models of the restoration and support of labor resources in monotowns in the conditions of the crisis are analyzed on the basis of the experience of foreign countries (Canada, USA, Germany, Russian Federation). The results and recommendations will serve as the basis for the economic development of town.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
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 head0.011
GPT teacher head0.233
Teacher spread0.223 · 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.

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

Citations0
Published2017
Admission routes1
Has abstractyes

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