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Record W2087914770 · doi:10.1080/14634980600561466

A proposal for the application of integrated coastal management for institutional arrangements in Xiamen

2006· article· en· W2087914770 on OpenAlexaff
Liyu Zhang, Xiongzhi Xue, Qinhua Fang, Shawn Shen

Bibliographic record

VenueAquatic Ecosystem Health & Management · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsPreconditionEnvironmental resource managementCoastal managementResource (disambiguation)BusinessEnvironmental planningResource management (computing)Computer scienceGeographyEnvironmental science

Abstract

fetched live from OpenAlex

Integrated Coastal Management (ICM) is a feasible approach to address coastal issues, including resource use conflicts, ecological environments and management issues. An institutional arrangement is a precondition for the fulfillment of management functions. Therefore, a scientific institutional arrangement must be established as soon as possible for more effective implementation of ICM. In this paper, theories on ICM institutional arrangements were analyzed. In addition, characteristics and lessons learned domestically and internationally from the ICM institutional arrangements were summarized. Finally, based on the issues encountered in the first Xiamen ICM implementation, as well as on the major existing problems faced in Xiamen's coast, establishing a new ICM institutional arrangement for Xiamen was proposed.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.962
Threshold uncertainty score0.984

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 science0.0000.001
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 head0.010
GPT teacher head0.247
Teacher spread0.237 · 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 designOther design
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
Published2006
Admission routes1
Has abstractyes

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