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Record W4305015508 · doi:10.1108/heswbl-05-2022-0102

Employability skills from employers' perspectives in indigenous contexts: empirical evidence

2022· article· en· W4305015508 on OpenAlexaffabout
Amzad Hossain, Kong Ying, Harvey Briggs, Kim Laycock

Bibliographic record

VenueHigher Education Skills and Work-based Learning · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsUniversity College of the North
Fundersnot available
KeywordsEmployabilityIndigenousCurriculumSoft skillsPedagogyPsychologyMedical educationSocial psychologyMedicine

Abstract

fetched live from OpenAlex

Purpose This paper aims to analyze Northern Manitoba employers' indexes of employability skills that influence the UCN (University College of the North) students' employability in indigenous contexts. Design/methodology/approach This study constructs the employability skills into six indexes from employers' perspective: reading comprehension, numeracy, technology, soft skills, job searching skills and indigenous cultural awareness. Mixed methods have been applied to this research: survey data are used for empirical analysis of the six indexes of employability skills; secondary sources of similar studies together with functional theory in education as a framework is adopted to explore the breadth and depth of employability skills requested by employers; indexing analysis is adopted to validate the necessity of developing such skills in indigenous contexts in Northern Manitoba. Findings The correlation analyses and mean values show that employers in Northern Manitoba take the six indexes as influential factors of students' employability. As such, the study indicates that Northern Manitoba employers consider employability in indigenous contexts as a combination of basic skills, professional requirements, soft skills and cultural awareness. The employers' attested employability is in line with the concept of the technical-function theory, which requires education to meet the demand for updated job skills due to a technological change. Moreover, Northern Manitoba employers' emphasis on indigenous cultural awareness as employability skills rationalizes the necessity to integrate indigenous cultural contents into programs and curriculums in UCN and post-secondary institutes with similar attributes. It confirms that indigenous cultural awareness is required by employers in Northern Manitoba populated with indigenous communities. The research findings suggest that the functional theory of education might help UCN and similar institutions globally to offer programs that will reduce employment inequality. Research limitations/implications This research is conducted among the employers in Northern Manitoba, and the indexes and their factors are designed to evaluate UCN students' employability in general. Practical implications The outcomes of this paper can be applied as a parameter for upgrading educational strategies to integrate essential and professional employability skills such as reading comprehension, numeracy, technology, soft skills and job searching skills with indigenous cultural components into UCN curriculums and programs. It can be applied to other post-secondary institutes with similar attributes to enhance their students' employability. Furthermore, the research findings can be used as a guideline for UCN to tailor their programs for the job market locally and as references for post-secondary institutions with similar student compositions globally. Originality/value This paper provides empirical evidence from the employers' viewpoint to support the necessity of integrating essential and professional employability skills with indigenous cultural awareness into the curriculums and programs of UCN, a post-secondary institution in indigenous populated Northern Manitoba. Furthermore, it is also attested that employers consider indigenous cultural awareness as an influential factor of students' employability in indigenous contexts.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score0.353

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.368
Teacher spread0.329 · 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 source (direct Gemma or distilled Codex), 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

Citations8
Published2022
Admission routes2
Has abstractyes

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