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Record W2328769815 · doi:10.5751/es-07095-200107

Comanagement of clams in Brazil: a framework to advance comparison

2015· article· en· W2328769815 on OpenAlexfundvenueno aff
Ligia Moreira da Rocha, Evelyn Pinkerton

Bibliographic record

VenueEcology and Society · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsnot available
FundersUniversidade Federal do Rio Grande do NorteSimon Fraser UniversityCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsEnvironmental resource managementResilience (materials science)FisheryGeographyEnvironmental planningEnvironmental scienceWater resource managementBiology

Abstract

fetched live from OpenAlex

In Brazil, the recognition that fisheries encompass both natural ecosystems and human well-being has increased, but initiatives are focused largely on highly-valued species, ignoring socially relevant resources such as Venus clams (Anomalocardia brasiliana).We investigate two initiatives involving comanagement of Venus clams in the past two decades: the Marine Extractive Reserve "Pirajubaé" and the "People of the Tides" project.We focus on the nature of the institutional arrangements, the involved groups (fishing communities and government), and the resource, as well as the steps involved in developing the partnerships, identifying which factors favor success in comanagement.Through these projects, fisherwomen got visibility and clam harvesters became the center of institutional developments.However, their rights in management will not become meaningful unless comanagement in protected areas is fully implemented, and government becomes more willing to share power in harvest planning, and to improve health, infrastructure, and the return of value to fisher families.Only then would such cooperation promote sustainability for Venus clams and fisher families.RESUMEN.Los invertebrados marinos bentónicos son una fuente de alimentos e ingresos para los pescadores artesanales de América Latina.Sin embargo, todavía hay relativamente escasas investigaciones sobre la gestión de estos recursos.Si bien el reconocimiento de la pesca como un sistema marino socio-ecológico ha aumentado en la última década en Brasil, las iniciativas se han centrado en gran medida tanto en especies de alto valor como recursos sobreexplotadas, dedicando escasos esfuerzos a moluscos bivalvos socialmente relevantes como la Almeja venus (Anomalocardia brasiliana).En este trabajo se investigaron dos iniciativas brasileñas que involucran al co-manejo de la Almeja venus en las últimas dos décadas: la primera Reserva de Extracción Marina (REM) de Pirajubaé y el proyecto "People of the Tides".Basamos nuestro trabajo en el análisis de las condiciones que favorecen el éxito del co-manejo, incluyendo el marco institucional gubernamental, los recursos marinos y las comunidades pesqueras involucradas.Nuestros resultados muestran que si bien los recursos sedentarios como las almejas pueden favorecer las iniciativas de co-manejo, alcanzar el éxito no resulta una tarea fácil de alcanzar.El papel de las mujeres pescadoras ha sido reconocido y los pescadores se han convertido en el centro de las actividades, pero sus derechos en la gestión de los recursos marinos serán reconocidos una vez que las áreas marinas protegidas se implementen de forma plena, el gobierno tenga una mayor implicación y disponibilidad de compartir el poder, las actividades de extracción y sus actividades relacionadas sean incluidas y las familias de los pescadores obtengan beneficios tangibles.Sólo entonces las iniciativas de cooperación para promover la sostenibilidad de este molusco bivalvo tendrán éxito.

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)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score0.378

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0030.005
Scholarly communication0.0040.004
Open science0.0020.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.282
Teacher spread0.263 · 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 designQualitative
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

Citations25
Published2015
Admission routes2
Has abstractyes

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