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Record W4288064015 · doi:10.1504/mjccm.2022.124378

A comparative research design on the role of national culture in adult training activities: perspectives from Canada and Tunisia

2022· article· en· W4288064015 on OpenAlexaffabout
Giovanna Storti

Bibliographic record

VenueMENA J of Cross-Cultural Management · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicJewish Identity and Society
Canadian institutionsEmployment and Social Development Canada
Fundersnot available
KeywordsTraining (meteorology)PsychologyGeography

Abstract

fetched live from OpenAlex

The literature highlights the role that culture plays in adult learning activities (see Francis, 1995; Hites, 1996; Weech, 2001). The underlying intention of the study is to examine the role that the local Tunisian culture plays in adult learning activities embedded within workplace training programs. The outcomes will direct practitioners and global companies operating in Canada and Tunisia to resourcefully manage their professional education programs efficiently and effectively while meeting the expected learning outcomes of training participants. The theoretical goal is multi fold, first to study the influence of the local culture on learning activities presented in training programs more systematically and specifically in the current Tunisian context, and, secondly to observe what occurs during the various phases of the adult learning process. Despite the fact that professional learning programs are designed at the local levels of society and subject to local legislation and domestic regulations, countries that are cognisant of the important role that culture plays in global training practices may lead us towards alternate and more insightful means of examining how national educational practices and regulations shape current realities.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.782

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 studies0.0010.001
Scholarly communication0.0000.000
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 head0.098
GPT teacher head0.396
Teacher spread0.298 · 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 designQualitative
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

Citations0
Published2022
Admission routes2
Has abstractyes

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