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Record W2145689607 · doi:10.1177/1070496510384392

The Use and Management of Mangrove Ecosystems in Pakistan

2010· article· en· W2145689607 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Environment & Development · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal wetland ecosystem dynamics
Canadian institutionsUnited Nations University Institute for Water, Environment, and Health
Fundersnot available
KeywordsMangroveMangrove ecosystemHectareTotal economic valueEcosystem servicesGeographyValuation (finance)EcosystemPovertyLivelihoodAgroforestryEnvironmental protectionAgricultural economicsBusinessEcologyEnvironmental scienceEconomicsEconomic growthAgriculture

Abstract

fetched live from OpenAlex

We undertook an economic valuation of mangrove forests in Balochistan province of Pakistan drawing on primary data from a survey of 80 households depending on mangrove forests. It was found that the direct value of mangroves was USD 1,287 per hectare, while the total value for the village was calculated to be USD 4,419,935. We found that rich households made more absolute use of the mangrove products and services and the poor made more relative use. Any decrease in the quality of this ecosystem would expose the poor to the worst effects of poverty. We argue that investments in mangrove conservation under comanagement regime in this region of Pakistan make ecological and economic sense.

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)0.002
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 score0.160
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0000.000
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 head0.009
GPT teacher head0.205
Teacher spread0.196 · 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