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Record W1985230307 · doi:10.1109/ipcc.2012.6408602

Branding, defining and belonging: Creating an identity for the Engineering Communication Program

2012· article· en· W1985230307 on OpenAlexaffabout
Peter Weiß, Raj Grainger, Lydia Wilkinson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIdentity (music)Computer scienceAestheticsArt

Abstract

fetched live from OpenAlex

In 2010, the Engineering Communication Program (ECP) teamed up with Engineering Strategic Communication to find a visual way to resolve ECP's identity issues. Not only was the program a kind of outsider to the world of math, hard science and research which were identified with University of Toronto Engineering, but the instructors themselves had a difficult time differentiating themselves from Teaching Assistants. Students did not have a conventional way to identify instructors who taught interactively in small classes scheduled during tutoring times or who tutored in one-on-one or one-on-team settings. The situation was further complicated by the fact that the university had recently completed a branding exercise and was centrally determining what kinds of symbolic representations or typefaces could be used. We wanted to utilize the university new “brand” as well as our own faculty's in order to represent ourselves visibly as part of the engineering world. Our answer, within what was currently permitted by the university, had two components: a type treatment of our name, matching the type treatments used by engineering departments, and an insignia that introduced an acronym for communication instructors - MyCI. In future, we will be conducting a study to determine the associations the insignia evokes for students.

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.

How this classification was reachedexpand

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.663
Threshold uncertainty score0.351

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 science0.0000.000
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 head0.013
GPT teacher head0.276
Teacher spread0.263 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2012
Admission routes2
Has abstractyes

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