MétaCan
Menu
Back to cohort
Record W2046807814 · doi:10.5539/ass.v6n4p88

On the Countermeasures of Panjin Coastal Wetland Protection in Liaoning Province --- Reflections on Five-point-in-a-line Construction Project

2010· article· en· W2046807814 on OpenAlexvenueno aff
Jinwei Li

Bibliographic record

VenueAsian Social Science · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsnot available
Fundersnot available
KeywordsExclusive economic zoneIndustrial parkChinaGeographyIndustrial zoneEnvironmental protectionArchaeologyRegional scienceFishery

Abstract

fetched live from OpenAlex

The five-point-in-a-line strategy is actually an important component of development strategy of the coastal economic zone in Liaoning Province or even in the whole northeast China. The early five-point-in-one-line strategy only involved five key development areas in five coastal cities of Liaoning province. Since the beginning of June in the year of 2006, the strategy, instead of the original five-point-in-one-line layout, has been expanded to all the coastal cities of Liaoning Province, namely, Dalian City (Changxing Island Harbor Industrial Zone, Huayuankou Industrial Park), Yingkou (Liaoning Coastal Industrial Base), Dandong (Dandong Industrial Park), Jinzhou city of the western Liaoning Gulf Economic Area (Xihai Industrial Zone), and Huludao city (Beigang Industrial Zone and Xingcheng Industrial Park), Panjin City (Ship Building and Repairing Industry Park). In this way, all coastal cities in Liaoning have been included in Liaoning coastal economic zone development strategies.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.099
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.267
Teacher spread0.250 · 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

Citations3
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueAsian Social ScienceSame topicCoastal and Marine ManagementFrench-language works237,207