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Record W3031170416 · doi:10.24908/iqurcp.10635

5. Determining Groundwater Inputs into High Arctic Lakes (Cape Bounty, Melville Island, NU)

2018· article· en· W3031170416 on OpenAlexvenueno aff
Maddie Harasyn

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsGroundwaterArcticPermafrostGeologyHydrology (agriculture)Water tableBathymetryBedrockOceanographyPhysical geographyGeomorphologyGeography

Abstract

fetched live from OpenAlex

The focus of this research project is to determine the presence of groundwater seepage within two High Arctic lakes located in continuous permafrost on Melville Island, NU. Small isolated depressions were located at the bottom of each lake using bathymetric data – 21 in East and West Lake (unofficial names) combined. It was hypothesized that these depressions could be the sites of groundwater seepage into the lakes, and these locations then served as sample sites for CTD cast and water sample collection during the 2016 field season. Water chemistry and physical property data were used as indicators of groundwater seepage, as ground water would have properties similar to the source of the ground water, generating a change in water chemistry at each of these sites.
 Ionic analysis has showed site specific change at the bottom of both lakes, related to the underlying bedrock structure. Ionic ratios for the northern sites differ from ratios of the rest of the sample sites, as well as the ambient water of each lake. This correlates with the meeting of two geologic units within both lake limits. Physical characteristic data showed no change within East Lake and a localized change within West Lake, represented as an increase in electrical conductivity and decrease in dissolved oxygen. These results suggest that highly localized groundwater seepage is likely occurring in these High Arctic lakes, and that water property influences to ground water may be even more highly localized.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.003

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 head0.094
GPT teacher head0.335
Teacher spread0.241 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueInquiry Queen s Undergraduate Research Conference ProceedingsSame topicClimate change and permafrostFrench-language works237,207