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Record W2946638146

The Impact of Climate Change on the Wind Velocities and Wind Directions of Alberta

2018· article· en· W2946638146 on OpenAlex
Tatiana Kopchuk

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueStudent Research Proceedings · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicScience and Climate Studies
Canadian institutionsMacEwan University
Fundersnot available
KeywordsClimate changeEnvironmental scienceWind speedWind powerPrecipitationClimatologyMeteorologyGeographyGeologyEcologyOceanography
DOInot available

Abstract

fetched live from OpenAlex

Global wind patterns are shifting due to a variety of factors all linking back to climate change and human activity impacting the environment. As the polar regions of the planets move closer in temperature to that of the equator, pressure changes and circulation of the atmosphere are changing. Wind speeds are noticeable decreasing which impacts our ecology, geological processes, engineering, and energy production. Despite this, most climate change attention is focused on temperatures and precipitation. This study seeks to compare the annual wind speeds experienced across the province of Alberta today, to the annual wind speeds of 20 to 30 years ago. A similar comparison of wind direction will also be undertaken using ArcGIS. Results will then be analyzed for consistency with climate change predictions and the impact of wind variations across Alberta’s six natural regions can be investigated. This can be used as a future basis for impact monitoring and risk analysis of changing wind patterns across the province. Discipline: Physical Sciences Faculty Mentor: Dr. Nancy McKeown

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
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
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.114
GPT teacher head0.425
Teacher spread0.310 · 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