MétaCan
Menu
Back to cohort
Record W2561612784 · doi:10.5539/esr.v6n1p97

Supercooling of Seawater Near the Glacier Front in a Fjord

2016· article· en· W2561612784 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEarth Science Research · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsnot available
FundersRussian Science FoundationNorges Forskningsråd
KeywordsFjordGlacierGeologyFront (military)SeawaterOceanographySalinityGlacier ice accumulationTidewater glacier cycleSea iceGeomorphologyAntarctic sea iceArctic ice pack

Abstract

fetched live from OpenAlex

We analyze seawater temperature and salinity in the immediate vicinity of the Paulbreen front in Spitsbergen. The CTD-measurements were carried out from ice in winter and from a boat in summer. ADCP profiling was performed near the glacier front from the ice in winter. In winter, we found water with lower salinity than the surrounding water in the fjord at a distance of 15 m from the glacier front and recorded a low upward water flux near the glacier. Relatively fresh water was found at a depth of 2-4 m near the glacier front in the place where the sea and glacier bed have local depression up to 17 m. Supercooling of the freshened water reached 0.35°C. We link this phenomenon to a flow of freshwater from under a polythermal glacier. This water becomes overcooled in the seawater with significantly lower temperature and higher salinity.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.082
GPT teacher head0.323
Teacher spread0.242 · 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