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Record W4392364982 · doi:10.33423/jhetp.v24i3.6836

Remote Work Integrated Learning (RWIL) Field Placement in Retail Management

2024· article· en· W4392364982 on OpenAlexaff
Juan Marcelo Gómez, Omar Fares

Bibliographic record

VenueJournal of Higher Education Theory and Practice · 2024
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsNoveltyWork (physics)Bridging (networking)Field (mathematics)Knowledge managementBusinessComputer sciencePsychologyEngineeringComputer security

Abstract

fetched live from OpenAlex

Integrative projects have gained recognition in higher education institutions and the business community by providing valuable experience to students through immersive practice, bridging the gap between education and the business profession. This study provides a detailed analysis of students’ experiences in Remote Work Integrated Learning (RWIL) - field placement within the business area of retail management. Given that the study occurs during the COVID-19 pandemic, how remote working supports or hinders the WIL experience is investigated. The findings are extended to propose a framework for the practical implementation of RWIL design. This study offers new perspectives for higher-education professionals, specificity in retail management, and novelty of the Linguistic Inquiry and Word Count technique for sentiment analysis.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.013
GPT teacher head0.298
Teacher spread0.286 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

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