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Record W185455884 · doi:10.7202/032641ar

An Inexpensive, Lightweight Percussion Core Sampling System

2007· article· en· W185455884 on OpenAlexafffundvenue
Mel A. Reasoner

Bibliographic record

VenueGéographie physique et Quaternaire · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaParks Canada
KeywordsCoringBarrel (horology)PulleyCore (optical fiber)PercussionLine (geometry)GeologySampling (signal processing)Marine engineeringCore sampleComputer scienceAcousticsMechanical engineeringEngineeringDrillingPhysicsGeometryMathematicsTelecommunications

Abstract

fetched live from OpenAlex

The assembly and operation of lightweight, percussion coring equipment designed for the recovery of lacustrine sediments are described. Two ropes are employed in the operation of the system which is conducted from the surface of the ice pack. The main line is used to raise and lower the core barrel assembly and a secondary line operates the driver. The driver is guided to the core barrel assembly by the main line. The mechanical advantage required for core removal is obtained from a simple pulley system anchored to the surface of the ice pack. The equipment can be transported and operated by one person in the field and is theoretically unrestricted by water depth. The equipment was successfully tested under winter conditions and recovered 7.6 cm diameter core samples up to 257 cm in length.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.007

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 head0.049
GPT teacher head0.297
Teacher spread0.248 · 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 designBench or experimental
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

Citations34
Published2007
Admission routes3
Has abstractyes

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