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Record W2487670474 · doi:10.1017/cbo9781107296916.011

Europe and Asia: a view of what remains

2014· book-chapter· en· W2487670474 on OpenAlexaff
David B. Scott, Jennifer Frail-Gauthier, Petra J. Mudie

Bibliographic record

VenueCambridge University Press eBooks · 2014
Typebook-chapter
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsDalhousie University
Fundersnot available
KeywordsWetlandMarshSalt marshDeltaGeographyMangroveMonsoonEcologyAgroforestryFisheryEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

Key pointsEurasia is the largest continent, but its coastal wetlands have long histories of human occupation and few tidal wetlands remain; temperate salt marshes dominated by grasses and pickleweed occur in Western Europe and the northern Mediterranean; these wetlands are grazed by livestock or used for salt production; extensive microtidal Danube Delta marshes survive as wildlife refugia because of wild pigs and malaria mosquitoes; Mesopotamian and Yangtze basin marshes are highly imperiled by upstream dam construction; Southeast Asia has 10 densely populated delta wetlands in high to extreme danger of survival; tsunamis and tropical storms damage fringe mangroves on coastlines long changed by farming and aquaculture; monsoon floods and tidal surges drown millions of people in China despite giant dams; efforts are being made to replace mangals destroyed for wood, and rice or shrimp farms, and to stabilize mudflats with cordgrass.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.994
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.021
GPT teacher head0.211
Teacher spread0.190 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2014
Admission routes1
Has abstractyes

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