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Record W7067080122

L'érosion hivernale de la falaise de Rivière-Saint-Jean, Québec : une comparaison entre les années de gel prolongé et des hivers doux

2024· other· fr· W7067080122 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSémaphore (Université du Québec à Rimouski) · 2024
Typeother
Languagefr
FieldComputer Science
TopicComputational Physics and Python Applications
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Coastal zonePilotageWestern europe
DOInot available

Abstract

fetched live from OpenAlex

RÉSUMÉ : Ce projet de recherche avait pour but d'étudier l'érosion de la falaise meuble à Rivière-Saint-Jean, sur la Côte-Nord, Québec, entre 2016 et 2021, en se concentrant particulièrement sur l'hiver sans glace côtière de 2020-2021. Le projet se concentre sur l'ampleur et les taux d'érosion qui ont été mesurés à partir de levés topographiques (LiDAR) qui ont été répétés à une fréquence mensuelle ou semestrielle. La dynamique côtière est décrite dans le contexte du régime thermique de la falaise basé sur des mesures in situ pendant l'hiver 2020-2021, et qui est étendu au reste de la période en utilisant un modèle empirique de la progression des fronts de gel et de dégel. Un contexte environnemental supplémentaire est donné par les tendances des tempêtes et des températures au cours de la période d'observation. Le taux moyen d'érosion entre novembre 2020 et avril 2021 a été de 8,1 m/an, ce qui est 2,5 fois plus rapide que la moyenne mesurée au cours de la période d'étude de cinq ans. Une combinaison de facteurs environnementaux tels que l'absence de glace côtière protégeant la falaise de l'action des vagues et les cycles fréquents de gel et de dégel déstabilisant la falaise de silt ont probablement contribué de manière importante à l'érosion rapide. -- Mot(s) clé(s) en français : géomorphologie côtière, érosion côtière, processus cryogéniques, gel-dégel, falaises meubles. --
\nABSTRACT : The goals of this research were to investigate erosion of unconsolidated coastal cliff at Rivière-Saint-Jean, North shore, Quebec, between 2016 and 2021, with particular focus on the coastal-ice-free winter which occurred in 2020-2021. The project focuses on the magnitude and rate of erosion which was measured from LiDAR-derived digital topographic models which were repeated at monthly to semiannual frequency. The coastal dynamic is described in the context of the thermal regime of the cliff based on in situ measurements during the winter of 2020-2021, and which is extended to the rest of the period using an empirical model of freezing- and thawing-front progression. Additional environmental context is given by storm and temperature trends during the observation period. The average rate of erosion between November 2020 and April 2021 was 8.1 m/a, which is 2.5 times faster than the average rate measured over the five year study period. A combination of environmental factors such as absense of coastal ice protecting the cliff from wave action and frequent freezing and thawing cycles destabilizing the silt cliff were likely important contributors to the rapid erosion. -- Mot(s) clé(s) en anglais : coastal geomorphology, coastal erosion, cyogenic processes, freeze-thaw, unconsolidated cliffs.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.760
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.012
GPT teacher head0.227
Teacher spread0.215 · 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