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The austrian alps and paraglaciation

2012· article· en· W2133058250 on OpenAlexaffabout
Christine Embleton-Hamann, Olav Slaymaker

Bibliographic record

VenueGeografiska Annaler Series A Physical Geography · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsGlacial periodPhysical geographyConfusionGeologyGeographyArchaeologyGeomorphologyPsychology

Abstract

fetched live from OpenAlex

Embleton‐Hamann, C. and Slaymaker, O., 2012. The Austrian Alps and paraglaciation. Geografiska Annaler: Series A, Physical Geography, 94, 7–16. doi:10.1111/j.1468‐0459.2011.00447.xABSTRACTThere is some confusion in the geomorphological literature with respect to the usage of the term ‘paraglacial’. We review the meaning of the term as defined in the Anglo‐Canadian literature between 1972 and the present. We then show that many of these ideas were implicit in the early‐twentieth‐century German literature but were never, to our knowledge, synthesized into an overarching framework for the study of post‐glacial glaciated landscapes. It was not until the end of the twentieth century that the paraglacial model was directly applied to the interpretation of the European Alps. The first decade of the twenty‐first century has seen a growing appreciation and some critique of that model in research in the Austrian Alps. The post‐glacial glaciated landscape is interpreted as a landscape of transition between the full glacial of the Last Glacial Maximum and the present almost entirely deglaciated landscape. It provides a conceptual framework and a challenge to determine exactly how far any specific glaciated landscape has evolved in response to non‐glacial processes and whether it remains a disturbance regime landscape.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.727

Codex and Gemma teacher scores by category

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

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 head0.012
GPT teacher head0.231
Teacher spread0.219 · 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 teacher head, 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

Citations15
Published2012
Admission routes2
Has abstractyes

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