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Record W2767500575 · doi:10.1177/1541344617738514

Closing the 21st-Century Knowledge Gap

2017· article· en· W2767500575 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.

Bibliographic record

VenueJournal of Transformative Education · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Learning and Leadership
Canadian institutionsRoyal Roads UniversitySheridan College
Fundersnot available
KeywordsTransformative learningOrganizational learningKnowledge managementLearning organizationWorkforceContext (archaeology)Active learning (machine learning)Learning sciencesExperiential learningSociologyPsychologyPedagogyComputer sciencePolitical science

Abstract

fetched live from OpenAlex

The 21st century is seeing dramatic shifts in the business environment. In order for organizations to adapt to these shifts, they must be more flexible and learning oriented. To thrive in this environment, organizational leaders must facilitate and build the capacity for learning throughout the organization. Organizational leadership is looking for employees to bring more than technical competencies or subject-matter expertise to their work; they are requiring specific learning-oriented competencies such as critical thinking, problem-solving, agility, adaptability, initiative, communication, and collaboration among others. To that end, business education is under heavy criticism for failure to produce the workforce needed to meet the demands of the 21st century. We set out to develop a conceptual teaching and learning model anchored in transformative and constructivist perspectives of learning that engages the whole learner in learning, reflective practice, and interactions with learning facilitators, other learning agents, and actors in a learning 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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.556

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 studies0.0010.000
Scholarly communication0.0000.002
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 head0.039
GPT teacher head0.291
Teacher spread0.252 · 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