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Record W2319577023 · doi:10.1061/40926(239)134

Factors Influencing the Long-Term Stability of the Carbonate Sand Beaches of Mauritius

2007· article· en· W2319577023 on OpenAlexaff
Michael J. Risk, Robert B. Nairn, Mark O. Kolberg

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsMcMaster UniversityW.F. Baird & Associates Coastal Engineers (Canada)
FundersU.S. Army Corps of Engineers
KeywordsCoral reefCoralReefCarbonateEnvironmental scienceGeologySedimentErosionEnvironmental issues with coral reefsOceanographyGeomorphology

Abstract

fetched live from OpenAlex

The long-term stability of the carbonate beaches of Mauritius is the result of the net balance of the supply of carbonate sand from the coral reef environment and the loss of sand to adjacent depositional beaches and through passes in the fringing coral reef to off-reef environments. Carbonate sand is supplied from the lagoon and the balance has been tipped in the favor of losses over supply due to a range of anthropogenic factors including: historic coral harvesting for lime kilns servicing the sugar cane refining industry; removal of coral for water ski lanes; coral health degradation through a decrease in water quality; over-fishing; and creation of navigational passes. This paper presents a technique for quantifying the supply of sand from the various lagoon facies using sediment constituent analysis and hyperspectral imagery. Numerical models are used to describe the sand loss. Non-structural management recommendations are designed to reverse the long-term beach erosion trend.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.283

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.212
Teacher spread0.192 · 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

Citations3
Published2007
Admission routes1
Has abstractyes

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