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Record W4390891589 · doi:10.55650/igj.1993.453

Changes since the Nineteenth Century to the Estuary-Barrier Complexes of North County Dublin

2015· article· en· W4390891589 on OpenAlexaff
Monica E. Mulrennan

Bibliographic record

VenueIrish Geography · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsMcGill University
Fundersnot available
KeywordsEstuaryOceanographyBarrier islandGeologyForeduneShoreAccretion (finance)ShoalHydrology (agriculture)Geotechnical engineering

Abstract

fetched live from OpenAlex

Over the past 150 years, two estuary-barrier complexes on the north Dublin coastline have undergone considerable morphological changes. These include a reduction in the size of the estuaries, and estuary mouths, and the accretion of beach sediments and foredune ridges around the distal or southern ends of the barriers. Increased estuarine reclamation, and the construction of the Dublin to Belfast Railway across one of the estuaries, has reduced the volume of the tidal prism and weakened the ebb and flood currents, requiring an adjustment in the dimensions of the tidal channels and estuary mouths. Disruption of the tidal regime has led to substantial hydrodynamic and morphological changes, the southward extension of the barriers representing an attempt to restore the hydraulic equilibrium of these estuary/barrier complexes by reducing the cross section of the estuary mouth. Subsequent adjustments to these changes, combined with increasing recreational pressure, have been responsible for recent degradation and shoreline recession at the northern end of the barriers. A comprehensive understanding of the mechanisms of change currently operating along this coastline is essential to its effective 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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.002
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 head0.016
GPT teacher head0.218
Teacher spread0.203 · 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.

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
Published2015
Admission routes1
Has abstractyes

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