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Record W4384696678 · doi:10.22215/etd/2023-15468

The Pandemic Riskscape in the Tourism Community of Canmore, Alberta during the COVID-19 Pandemic

2023· dissertation· en· W4384696678 on OpenAlexaffabout
Stephanie Lonz

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicRisk Perception and Management
Canadian institutionsCarleton University
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)TourismPerceptionGeographyRisk perceptionSpace (punctuation)2019-20 coronavirus outbreakPower (physics)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Political scienceDiseaseEconomic growthOutbreakMedicinePsychologyInfectious disease (medical specialty)VirologyEconomicsComputer science

Abstract

fetched live from OpenAlex

The COVID-19 virus is a severe acute respiratory disease which began to spread across the world in 2019, resulting in a global pandemic. To control the spread of the disease, countries closed their borders and implemented widespread lockdowns. Now that lockdowns have come to an end and travel has resumed, the purpose of this study is to investigate the risk perceptions of residents living and working in the tourism community of Canmore, AB. This study adopts the concept of ‘riskscapes’ to explore how risk is experienced through spatial practices and embedded in specific places. This concept is used to examine how residents perceive risk as they navigate through the riskscape and investigates factors which influence risk perceptions across space. The concept is used to demonstrate how riskscapes consist of interwoven risks which change over time as they are shaped by various actors and power structures.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.088
GPT teacher head0.402
Teacher spread0.315 · 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 teacher head, not a consensus.

Study designQualitative
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
Published2023
Admission routes2
Has abstractyes

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