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Record W7018124577

Climate change and sea ice: shipping in Hudson Bay, James Bay, Hudson Strait, and Foxe Basin

2017· dissertation· en· W7018124577 on OpenAlexafffund

Bibliographic record

VenueMspace (University of Manitoba) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversity of WinnipegUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaArcticNetTransport CanadaUniversity of Manitoba
KeywordsNucleofectionGestational periodTSG101DiafiltrationArticular cartilage damageProteogenomicsHyporeflexia
DOInot available

Abstract

fetched live from OpenAlex

This thesis examines shipping accessibility in the seasonally ice-covered waters of Hudson Bay, James Bay, Hudson Strait, and Foxe Basin, and discusses the social and environmental implications of shipping in the study area. Shipping accessibility was analyzed for 1980 to 2016 by characterizing the timing of breakup, freeze-up, and the open water season using sea ice concentration thresholds of 15 or 20%, approximating navigable conditions for open water vessels. Research was channeled through three manuscripts. Findings indicate that there is considerable spatiotemporal variation in shipping accessibility in the study area. For example, the open water season currently varies between 64 and 224 days across the area. Shipping accessibility has generally increased since 1980, and spatial variation in the trends has altered the patterns of breakup and freeze-up in the area. Finally, research reveals that shipping has an important social role in the study area that is offset by potential environmental impacts.

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)0.001
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 score0.596
Threshold uncertainty score0.803

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.043
GPT teacher head0.285
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

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

Citations0
Published2017
Admission routes2
Has abstractyes

Explore more

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