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Record W2125112149 · doi:10.5555/504800.504812

Building cross-disciplinary teams in higher education institutions

2000· article· en· W2125112149 on OpenAlex
Andrew Linder, Abroad Ibrahim

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

VenueInternational Professional Communication Conference · 2000
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsThe Scarborough Hospital
Fundersnot available
KeywordsKindnessReciprocity (cultural anthropology)FriendshipHigher educationCross disciplinaryTeamworkInstitutionPublic relationsKnowledge managementWork (physics)SociologyEducational institutionPsychologyBusinessPedagogyManagementEngineeringPolitical scienceComputer scienceSocial psychology

Abstract

fetched live from OpenAlex

The industrial workplace models of team-dynamics tend to misrepresent the character of collaborative activities and professional relationships in educational communities. An alternative model is suggested of self-directed, of educators in an creating academic work units with all the characteristics of positive team formations in business and industry, and the additional qualities of reciprocity and kindness found in friendship circles. A campus in a system of for-profit post-secondary DeVry Institutes is employed as an example of the benefits of organizing physical of educational activities in an integrated manner. Educators, support staff and technical resources are brought together across the range of the institution's educational offerings, creating by the campus as open space the conditions for successful informal teams in institutions of higher learning.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.664
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.052
GPT teacher head0.375
Teacher spread0.324 · 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