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Record W7096409377

A Dynamic Process Model of Palsa Genesis and Development based on Geomorphologic Investigations at the Boundary Ridge Palsa Bog

2005· article· en· W7096409377 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostRidgeBogPeatThermokarst
DOInot available

Abstract

fetched live from OpenAlex

This original research of seasonal thermodynamic and dynamic geomorphologic processes at the Boundary Ridge palsa bog near Schefferville, Quebec reports characteristic differences in heat flow (Q,), and resulting permafrost mass aggradation/degradation behavior, between a mature-phase palsa (Palsa A) and young-phase palsa (Palsa B). Quantitative analysis of September 1976-August 1977 thermal data indicates how changing palsa material characteristics and bog thermodynamics affect palsa geomorphology. Q, patterns for Palsa A show greater amplitude, and shorter active-layer heat loss duration, at its center than along its periphery. Basal active-layer ice aggradation was more evident in Palsa A than Palsa B. Although Palsa A experienced lesser Q, amplitudes than Palsa B, increased Q,, phase lag resulted in more heat loss and productive ice growth at depth. Palsas A and B experienced permafrost-zone isothermal conditions just below 0°C for seven to eight months of the year, interrupted only by the winter

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.439
Threshold uncertainty score0.873

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.054
GPT teacher head0.251
Teacher spread0.197 · 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 designSimulation or modeling
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

Citations0
Published2005
Admission routes1
Has abstractyes

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