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Record W3097297401

Remote work-integrated learning experiences: Student perceptions

2020· article· en· W3097297401 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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsContext (archaeology)Flexibility (engineering)PerceptionAdaptation (eye)SocializationWork (physics)PedagogyProductivityPsychologyPublic relationsKnowledge managementSociologyPolitical scienceEngineeringSocial psychologyManagementComputer scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

The COVID-19 pandemic required a quick adaptation in the way work-integrated learning programs are offered While not suitable for all types or disciplines of WIL, this disruption has led to many WIL experiences occurring remotely, that is, students working for organizations from home Students' perceptions of their WIL experiences have previously been examined, but there is little literature investigating students' perceptions of remote WIL, and how host organizations can best support their learning in a remote working context Organizational research conducted on remote employees over the past two decades has identified important considerations, such as flexibility, productivity, engagement, and commitment In the present study, semi-structured interviews were conducted with 50 co-operative education students and a grounded theory approach was taken to analyze the transcripts Findings reveal the importance students associate with socialization, productivity, and meaningful work in the remote context Study limitations and directions for future research are also discussed © 2020 International Journal of Work-Integrated Learning All rights reserved

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.045
GPT teacher head0.341
Teacher spread0.296 · 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

Quick stats

Citations35
Published2020
Admission routes1
Has abstractyes

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