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Coastal Labrador peatland permafrost inventory

2023· dataset· en· W6918343446 on OpenAlexaffabout

Bibliographic record

VenueNordicana D · 2023
Typedataset
Languageen
Field
Topic
Canadian institutionsQueen's University
Fundersnot available
KeywordsPermafrostPeatThermokarstWetlandLandformVegetation (pathology)Tundra

Abstract

fetched live from OpenAlex

Northern peatlands cover approximately four million km², and about half of these peatlands are estimated to contain permafrost and periglacial landforms, like palsas and peat plateaus. Peatland permafrost environments are known to be sensitive to climate warming and ecosystem modifications, so understanding the distribution of these ice-rich landforms is important for predicting thermokarst potential, hydrological and vegetation change, and carbon cycling activities. We applied a multi-stage consensus-based approach to develop a first inventory of peatland permafrost complexes in Labrador, spanning from 51 to 61°N, with a focus on the area within 100 km of the Labrador Sea and Gulf of St. Lawrence coastline. A team of three mappers identified a total of 2092 prospective peatland permafrost complexes in coastal Labrador and adjacent parts of Quebec using high-resolution satellite imagery available via Esri ArcGIS Online (Maxar Vivid imagery, 0.5 m spatial resolution, 5 m spatial accuracy, imagery acquisition dates 2010-2020) (Esri, 2022). Each prospective peatland permafrost complex was subsequently reviewed by two of the three mappers into classes of likely, possible, and unlikely peatland permafrost complexes. Prospective complexes that were evaluated by both reviewers as containing peatland permafrost were classified as likely peatland permafrost complexes, while prospective complexes with conflicting evaluations were classified as possible peatland permafrost complexes. Interpretation of peatland permafrost presence or absence was supported by field and imagery-based validation efforts at 557 prospective peatland permafrost locations, 331 of which contained peatland permafrost. Out of 2092 initial wetland complexes, 1120 were interpreted as likely containing peatland permafrost, and 186 were interpreted as possibly containing peatland permafrost. Likely peatland permafrost complexes were mostly found in lowlands within 22 km of the coastline, in locations with corresponding mean annual air temperatures of up to +1.2 °C (1980-2010). These inventory results provide an important baseline for future mapping, modelling, and climate change adaptation strategy development for the region. Updated versions of the inventory will continue to be made available. Esri. (2023). World Imagery, https://www.arcgis.com/home/item.html?id=10df2279f9684e4a9f6a7f08febac2a9. Accessed from September 2020 to June 2023.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.024
GPT teacher head0.276
Teacher spread0.252 · 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 designNot applicable
Domainnot available
GenreDataset

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".

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Citations1
Published2023
Admission routes2
Has abstractyes

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