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Record W4411957534 · doi:10.59236/td2013vol6iss31325

Mixing Business with Science

2013· article· en· W4411957534 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

VenueTransformative Dialogues Teaching and Learning Journal · 2013
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMixing (physics)BusinessPhysics

Abstract

fetched live from OpenAlex

Interdisciplinary studies are increasingly getting attention for their potential to add value to graduate education.This study elicited the views of graduate science students who had completed a pilot interdisciplinary course integrating their normal graduate studies with business knowledge.The students were asked for their perception of the course's learning outcomes and the pedagogy associated with those outcomes.Their responses suggest high level cognitive outcomes, beneficial to current studies and future careers: exposure to other perspectives; increased self-awareness; enhanced communication skills; and an understanding of how their research "fits" into the business world.Because interdisciplinarity requires that students venture into unknown territory, the recommended teaching-learning approaches attempt a balance between encouraging risk-taking and eliminating it altogether: foster student ownership; provide low-risk assignments and detailed feedback; avoid disciplinary bias; and focus on communications.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.837
Threshold uncertainty score0.530

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 communication0.0000.001
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 head0.006
GPT teacher head0.195
Teacher spread0.188 · 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