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Record W3173896509 · doi:10.11575/prism/38952

Groundwater processes and properties of surficial deposits in the Canadian Rockies

2021· dissertation· en· W3173896509 on OpenAlexaboutno aff
Jesse He

Bibliographic record

VenueOpen MIND · 2021
Typedissertation
Languageen
FieldEnvironmental Science
TopicGroundwater flow and contamination studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyGroundwaterGeochemistryMining engineeringArchaeologyEarth scienceGeomorphologyGeographyGeotechnical engineering

Abstract

fetched live from OpenAlex

Alpine surficial deposits such as moraine and talus are important conduits and reservoirs of groundwater and are capable of contributing large fractions of stream runoff. This work describes a combined fieldwork and modeling investigation, aimed toward characterizing the properties and hydrogeological function of various surficial deposits present within a headwater watershed in the Canadian Rockies. Hydrogeological properties such as hydraulic conductivity are highly heterogeneous between and even within surficial deposits. However, a moraine deposit located at the watershed outlet has a dominant influence on groundwater storage and flow. Restriction of discharge by this moraine “gatekeeper” has the effect of bolstering storage and baseflows over the low flow period. The function of this gatekeeper may also allow watershed-scale behavior to be well represented by simple relationships and data-frugal models which do not require detailed characterization of a site. Optimal model design must carefully select a level of complexity to avoid swinging between being over-parameterized and overly simplistic.

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 score0.017
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.028
GPT teacher head0.248
Teacher spread0.220 · 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
Published2021
Admission routes1
Has abstractyes

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