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Record W4244573568 · doi:10.4095/327843

An updated compilation of radiocarbon dates relating to the age of sensitive-clay landslides in the Ottawa Valley, Ontario-Quebec

2021· report· en· W4244573568 on OpenAlexaffabout
G R Brooks, B E Medioli, J M Aylsworth, D E Lawrence

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsRadiocarbon datingLandslideArchaeologyGeologyPhysical geographyGeographyGeomorphology

Abstract

fetched live from OpenAlex

This Open File is an updated compilation of 167 published and unpublished radiocarbon dates relating directly or indirectly to the ages of 45 landslides or landslide complexes in sensitive clay, and three 'disturbed terrain' features in the Ottawa Valley, southeastern Ontario/southwestern Quebec. Twenty-three tables contain dates for individual landslides (or disturbed terrains), or the dates for multiple landslides within a specific geographical area. Each table is proceeded by a short summary that overviews the landslide or disturbed terrain, and the associated radiocarbon dates. Each table lists the attributes of the dates, including sampling location, dated material, dating results, and contextual information on the ages and the landslide/disturbed terrain. The geographical coordinates, radiocarbon age, and laboratory number of each date are listed in two spreadsheet files (.xlsx and .csv formats) in the Appendix. The radiocarbon age dataset in this Open File will aid future studies investigating the chronology of prehistoric landslides in sensitive clay within the Ottawa Valley and St. Lawrence Lowlands region.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.087
Threshold uncertainty score0.292

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0090.020
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0870.017

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 head0.016
GPT teacher head0.253
Teacher spread0.236 · 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 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

Citations1
Published2021
Admission routes2
Has abstractyes

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