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Record W6944882470 · doi:10.25316/ir-17743

Crisis Communication by School Leaders during the COVID-19 Global Pandemic

2022· other· en· W6944882470 on OpenAlexaboutno aff

Bibliographic record

VenueVIURRSpace (Vancouver Island University) · 2022
Typeother
Languageen
FieldSocial Sciences
TopicPublic Relations and Crisis Communication
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicCrisis communicationGovernment (linguistics)Coronavirus disease 2019 (COVID-19)Public healthState of emergencyChristian ministryState (computer science)

Abstract

fetched live from OpenAlex

Schools are not immune to crises. Whether it be earthquakes, wildfires, shootings, or global pandemics, schools will always be required to react quickly and efficiently to crises (Liou, 2015, p. 248). One large component of this reaction is communication. Therefore, school leaders need to be prepared to communicate quickly, efficiently, and effectively both internally and with the broader community during times of crisis. The coronavirus pandemic of 2020 created an exceptional urgency for schools to practice and refine their crisis communication as they dealt with the ongoing pandemic (Government of Canada, 2022). In British Columbia, the pandemic caused a state of emergency that has lasted nearly a year and a half (Lawson et al., 2021). During this time, schools went through many different situations of crisis, including short-term emergencies and long-term sustained stress. Schools also needed to react quickly to changing government guidelines, community exposures and public health directives (BC Ministry of Health, 2021). The purpose of this study is to examine the opportunities and challenges that arose as school leaders attempted to develop best practices, processes and procedures that amounted to effective communication during an unprecedented international health emergency.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.063
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.021
GPT teacher head0.278
Teacher spread0.257 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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