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Record W2356475260

The Study on Economic Structure Transition of the Resource-based Cities in the Northeast China

2008· article· en· W2356475260 on OpenAlexaff
Man Qiang

Bibliographic record

VenueShijie dili yanjiu · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Economic and Spatial Analysis
Canadian institutionsScience North
Fundersnot available
KeywordsChinaRestructuringResource (disambiguation)Natural resourceRecessionSustainable developmentBusinessNatural resource economicsEconomic restructuringEconomic shortageEconomic systemEconomic growthEconomicsGeographyPolitical scienceComputer scienceGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

The Northeast China has a typical economic development model which is at the cost of depleting a lot of natural resources.With the development of a century and de-pletion of mineral resources and forest reserves,the resource-based cities face a series of development contradictions and problems,of which the resource-based cities are formed for a long period,and have a specific background of the times,and also attributed to the so-cial system.The papers analyze the problems that the resource-based cities faced in the Northeast China,and clarify the causes of the economy recession,and put forward four developing models for resource-based cities in Northeast China.They are the comprehen-sive developing model,the leading industry transition model,the nurturing continuous in-dustry model and the resource driving developing model.The paper also discusses three major problems that have to be resolved when the resource-based cities implement the e-conomic structure transition and sustainable development,i.e.industrial restructuring,em-ployment,ecological environment improvement,and also put forward the countermeasures and suggestions.

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)0.001
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 score0.142
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.021
GPT teacher head0.189
Teacher spread0.168 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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