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Record W3114940569 · doi:10.56059/jl4d.v7i3.459

Covid-19 - A Two-Week Transition from Campus to Online at the Acsenda School of Management, Canada

2020· article· en· W3114940569 on OpenAlex

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

VenueJournal of Learning for Development · 2020
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsAcsenda School of Management
Fundersnot available
KeywordsCoronavirus disease 2019 (COVID-19)PandemicHigher education2019-20 coronavirus outbreakTransition (genetics)Enrollment managementSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Distance educationPolitical scienceBusinessPublic relationsEconomic growthSociologyPedagogyMedicineEconomics

Abstract

fetched live from OpenAlex


 In March 2020 the COVID-19 pandemic obliged Higher Education Institutions (HEIs) in many countries to vacate their campuses and operate at a distance. We narrate the experience of the Acsenda School of Management (ASM) in making this sudden transition. ASM is a private for-profit business school with some 1,200, mostly international, students based in Vancouver, Canada. Drawing on interviews with ASM staff the paper identifies why the transition was relatively successful. It concludes with reflections on the longer-term impact of COVID-19 and how to integrate online and distance learning more effectively in HEIs around the world.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.551
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.072
GPT teacher head0.380
Teacher spread0.308 · 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