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SWOT Analysis of the Fushun Resource-Exhausted City’s Transformation

2012· article· en· W1909217098 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian social science · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicStrategic Planning and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSWOT analysisRationalization (economics)Resource (disambiguation)CoalBusinessEnvironmental economicsTransformation (genetics)Key (lock)Natural resource economicsMining engineeringComputer scienceEconomicsManagementGeologyEngineeringMarketingWaste managementComputer security

Abstract

fetched live from OpenAlex

It is a city that develops because of coal resources to Fushun,once was called “ the Coal City”. Nowadays, coal resources’mining has already approached dried up, and theoriginal advantage industry becomes weak gradually. Italso results in a lot of problems which are the soil erosion,environment break, the economic structure irrationalityetc. According to SWOT analytical method, this text carrieson analysis towards the Fushun resource-exhaustedcity’s transformation, and combines concrete conditionand problem. It puts forward the measure of rationalization,and provides some reference opinions for the developmentof Fushun. Key words: The Fushun resource-exhausted city;Transformation; SWOT

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.

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 score0.357
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.006
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.027
GPT teacher head0.238
Teacher spread0.211 · 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