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Record W3109248592 · doi:10.1108/heswbl-05-2020-0091

Indexes of employability assets: a comprehensive tool for analyzing students' attitudes in Indigenous contexts

2020· article· en· W3109248592 on OpenAlexaffabout
Amzad Hossain, Harvey Briggs, Kong Ying

Bibliographic record

VenueHigher Education Skills and Work-based Learning · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsUniversity College of the North
Fundersnot available
KeywordsEmployabilityIndigenousNumeracyCurriculumPsychologyConsistency (knowledge bases)Mathematics educationPedagogyMedical educationLiteracyComputer science

Abstract

fetched live from OpenAlex

Purpose The purpose of this study is to analyze the indexes of employability assets that affect students' employability in Indigenous contexts. Design/methodology/approach The study restructures the indicators developed from the survey the authors did for the Vital Outcome Indicators for Community Engagement (VOICE) research project into six employability indexes. The six indexes are reading and comprehension, numeracy, technological mastery, contribution to organizational performance, job searching skills and cultural awareness. The study has applied mixed research method, which is the combination of survey and secondary data analyses. Findings All six indexes have impacts on students' employability in various degrees with a high level of internal consistency among the indicators. The regression analysis reveals that the technological mastery, reading and comprehension and numeracy indexes significantly influence students' contribution to the organizational performance. The results also show that cultural awareness has impacts on employability but students do not connect it to the required employability skills. Such disconnection of cultural awareness with employability skills justifies the necessity to integrate Indigenous cultural contents into programs and curriculums in today's post-secondary education, particularly in the University College of the North (UCN), improving students' cultural knowledge, which, in return, enhances their employability in Indigenous contexts. The result is also applicable globally to countries which have large populations of Indigenous people such as Canada, Australia, New Zealand, Colombia, Mexico and other regions where workplaces are set in Indigenous contexts. Research limitations/implications The research survey was only conducted within students of UCN Thompson campus. Practical implications The results of this paper can be used as a guideline to adjust teaching/learning strategies with a focus on integrating Indigenous cultural components into UCN courses and programs, including other institutions with similar attributes to enhance Indigenous students' employability. UCN tri-council, faculty, community leaders, researchers, government and NGOs can also use the outcome of this paper to articulate polices that enhance students' employability. The outcome and strategic implication of the study can also be applicable to any institutions in a global Indigenous context. Originality/value The authors of the paper provide empirical evidence from the indexes of the employability assets including their indicators affecting students' employability. It is attested that cultural awareness index have impacts on students' employability in Indigenous context.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.650

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.026
GPT teacher head0.368
Teacher spread0.342 · 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

Labeled directly by 2 models reading the full record.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2020
Admission routes2
Has abstractyes

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