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Record W2107455163 · doi:10.5376/ijms.2014.04.0037

Integrated Coastal Management Program in the coastal village of Playa Florida and surrounding areas, Camagüey, Cuba

2014· article· en· W2107455163 on OpenAlexvenueno aff
Fraga José Miguel Plasencia

Bibliographic record

VenueInternational Journal of Marine Science · 2014
Typearticle
Languageen
FieldEnergy
TopicEnvironmental and Ecological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyCoastal managementCartographyRemote sensingEnvironmental resource managementEnvironmental planningEnvironmental science

Abstract

fetched live from OpenAlex

Florida Beach is a coastal village located on the southwest of the province of Camaguey, Cuba. The main environmental problems of this area are the death of mangroves due to the construction of a road to provide access to the community, and the retreat of the coastal line due to the effect of wall causing by the buildings next to it. The proposed Integrated Coastal Management Program that would solve or mitigate environmental problems was developed in an integrated manner. The general objective of the program is: Harmonizing uses of the wetland associated with the coastal community of Playa Florida and surrounding areas, which is part of the National Strategy for Sustainable Conservation and Use of Biodiversity, as a means of achieving an environmentally sustainable development of the community. We focused on: (1) Reduce conflicts of interest between the main economic activities in the area (fisheries and recreation) and the conservation and sustainable use of natural resources; (2) Improve the environmental conditions of the area with the gradual solution of environmental problems; (3) Improve the quality of life of the community with the diversification of the uses of the wetland; and (4) Strengthen the financial sustainability of the actions of the Integrated Coastal Management .

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)0.000
metaresearch head score (Gemma)0.000
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 score0.141
Threshold uncertainty score0.281

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.012
GPT teacher head0.248
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 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

Citations1
Published2014
Admission routes1
Has abstractyes

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