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Record W2187208530

COASTAL MONITORING IN NEWFOUNDLAND AND LABRADOR: 2013 UPDATE

2014· article· en· W2187208530 on OpenAlexaboutno aff
Melanie L. Irvine

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsCliffShoreCoastal erosionFlooding (psychology)Range (aeronautics)Geological surveyGeologyPhysical geographyGeographyOceanographyHydrology (agriculture)Archaeology
DOInot available

Abstract

fetched live from OpenAlex

The multi-year coastal monitoring program that began in 2011 continued on the Island of Newfoundland and southern Labrador in 2013. The objectives are to: 1) delineate coastal areas at risk from hazards including flooding, erosion and mass movement, 2) assess rates of shoreline erosion, 3) determine changes in beach profiles and 4) assess which physical processes are causing coastal change. To date, 104 sites have been surveyed, of which 57 were studied in 2013. Site selection was based on availability of prior data, ensuring a cross-section of the Province is included, evidence of a hazard, or upon the request of a community. This research uses and builds upon data from a coastal monitoring program conducted by the Geological Survey of Canada (GSC) that began in 1981, and there are several sites with sufficient data that rates of coastal change can be adequately quantified. This report analyzes data collected in 1998 and 2002 by the GSC and in 2011 and 2013 by the Geological Survey of Newfoundland and Labrador (GSNL) for Holyrood Pond, a barrier-beach and coastal-cliff site located on the southern Avalon. Between 1998 and 2011, the flanks of the cliff receded at an average rate of 44 cm per year (cm/a) with a range of 22 to 74 cm/a. Between 1998 and 2013, the centre of the cliff receded at an average rate of 59 cm/a with a range of 19 to 100 cm/a. Results from Holyrood Pond and other sites studied in this program provide additional evidence that coastal retreat is variable and rapid in the Province. When available, coastal monitoring data will be accessible through the Geological Survey’s Resource Atlas.

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)0.004
metaresearch head score (Gemma)0.007
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: none
Teacher disagreement score0.058
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.009
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.007
GPT teacher head0.192
Teacher spread0.185 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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