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Record W7070339292

Pivoting to Remote Learning: Our Practices for Supporting Non-traditional International Students and Part-time Contract Instructors

2021· article· en· W7070339292 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

VenueScholarship at UWindsor (University of Windsor) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Exile Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsNucleofectionTSG101Gestational periodHyporeflexiaDiafiltrationArticular cartilage damageHemopericardiumDysgeusia
DOInot available

Abstract

fetched live from OpenAlex

Extended Education at the University of Manitoba offers 12-month, full-time, face-to-face intensive programming to internationally educated professionals. This programming consists of two credentials and academic language support completed over 10 months, followed by an industry experience. In response to the COVID-19 pandemic, Extended Education pivoted quickly to develop a strategy to move courses offered to international students from a traditional face-to-face situation to a remote-learning delivery format. In order to ensure a successful transition, the developed strategy involved providing administrative and academic support to international students and part-time contract instructors. This session will highlight some of the initiatives implemented by Extended Education at the University of Manitoba to support its international students and part-time contract instructors through the transition, and discuss their effectiveness and correlation to student success. The session will also provide insights into factors to consider when planning for future programming opportunities, such as a hybrid model of learning.

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)0.003
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 score0.257
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.067
GPT teacher head0.349
Teacher spread0.283 · 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