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Record W2910865197 · doi:10.4095/221946

Ice-movement history, drift prospecting, and marine incursion in the Darby Lake and Arrowsmith River map areas, southern Boothia Peninsula, Nunavut

2006· report· en· W2910865197 on OpenAlexaffabout
C A Ozyer, Stephen R. Hicock

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsPeninsulaProspectingGeologyOceanographyPhysical geographyArchaeologyGeographyClimatologyGeochemistry

Abstract

fetched live from OpenAlex

Study of ice-movement indicators in the Darby Lake (NTS 56 N) and Arrowsmith River (NTS 56-O/9-16) map areas revealed a complex ice-flow history involving four phases. The oldest phase was north-northeastward to northeastward, and likely reflects ice flow during the last glacial maximum. This was followed by divergent flow, where ice in the western 56 N map area flowed north-northwest, and ice in the central to eastern 56 N, and in 56-O (north) map areas, flowed north-northeast. The third phase involved a shift of Darby Lake and western Arrowsmith River ice-flow directions to north-northeast and to the northeast in eastern 56-O (north). The final phase was a late-stage advance into 56 N /1 and 2. As part of a reconnaissance-scale drift-prospecting program, 92 till samples were collected and analyzed for heavy-mineral content, texture, carbonate content, pebble lithology, and trace/major elements. The study area was subjected to significant marine incursion, particularly in the major river valleys where marine sediments were found at elevations ranging between 92 m to 223 m a.s.l.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.728

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.227
Teacher spread0.199 · 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
Published2006
Admission routes2
Has abstractyes

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