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Record W4210747574 · doi:10.53379/cjcd.2022.332

Bridging the Disconnect Between Academic Institutions and Employers in the 4th Industrial Revolution

2022· article· en· W4210747574 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Career Development · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsMcMaster University
FundersMcMaster University
KeywordsBridging (networking)Public relationsIndustrial RevolutionValue (mathematics)PsychologyPolitical scienceBusinessSociologyComputer science

Abstract

fetched live from OpenAlex

The skills gap is widening and causing greater inequality in the today’s workplace. Bridging the disconnect between academic institutions and employers in the 4th industrial revolution is of critical importance to the success of our current market. Combining and analyzing both qualitative data gathered from key focus groups and a literature review, it is evident that a commitment to self- directed learning requires students and faculty to both understand the value of empowering learning, and to take increased responsibility for decision making. Academic institutions need to address skills required to become self-directed learners and must present students with the environment that lets them be more self-directed. Employers on the other hand must provide institutions with the skills they require upon hiring.

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.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.163
GPT teacher head0.337
Teacher spread0.174 · 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