Indexes of employability assets: a comprehensive tool for analyzing students' attitudes in Indigenous contexts
Bibliographic record
Abstract
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.
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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 arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".