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Record W6996183568

Remote sensing analysis of recent coastal change and its controlling factors in Darnley Bay (Amundsen Gulf, Canada)

2021· dissertation· en· W6996183568 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

VenueSapientia (Algarve University) · 2021
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsBayArcticCoastal erosionPermafrostErosionEstuaryPeninsulaCapeShoalClimate change
DOInot available

Abstract

fetched live from OpenAlex

As the Arctic warms, permafrost coasts are experiencing higher rates of erosion, threatening coastal communities and infrastructure, and altering sediment and nutrient budgets. However, some areas are still neglected by research. The mouth of the Gulf of Amundsen is home to Darnley Bay, while the coast of the ecologically important Cape Parry to Paulatuk area included in the Anguniaqvia Niqiqyuam Marine Protected Area has been still little studied. This area is home to Arctic char, cod, beluga whales, ringed and bearded seals, polar bears and sea birds. It is also an important area for the Inuvialuit who have an intrinsic attachment to their land ensuring the survival of their culture and food source. Settled in Paulatuk, Inuvialuit are witnessing the warming of their territory and the degradation of the permafrost. This study aims to establish the geomorphological characterization of the Paulatuk coast and peninsula and to quantify coastal changes over 55 years, using a new very high resolution survey based on CNES Pleiades imagery from August 2020, as well as historical aerial imagery from 1965. Key areas, such as Paulatuk, were also surveyed using unmanned aerial vehicles in 2019. The results indicate a small average erosion rate of -0.1 m/year of the surveyed coastlines from 1965 to 2020. At a regional scale, there is a disparity in erosion rates depending on the type of substrate. Erosion rates are significantly different in function of the type of coastal material. Unconsolidated areas show erosion rates of up to -3 m/year while consolidated express stability. These values are relatively low compared to other sites on the Beaufort Sea Coast (e.g. Qikiqtaryuk/Herschel Island, Yukon coast, Mackenzie delta), which are more susceptible to erosion due to soil composition, ground ice content, cliff height and exposure to swells. The very high resolution geomorphological mapping provide important spatial information to the coastal community. Paulatuk is showing signs of degrading permafrost landscape with subsidence zones and potential thaw ponds drainage. A preliminary assessment suggest that infrastructure construction influences permafrost degradation and that future soil thawing process could become a threat for the community. This study, based on unprecedented very high resolution data contributes to the general characterization and identification of erosion rates of the Arctic coasts.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.268
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.216
Teacher spread0.180 · 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