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Record W2149535511 · doi:10.24908/pceea.v0i0.3724

FRIENDS OF DESIGN: BUILDING A TECHNICAL SUPPORT COMMUNITY FOR CAPSTONE PROJECTS

2011· article· en· W2149535511 on OpenAlexaffvenue
Khoman Phang

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2011
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Pedagogy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCapstonePremisePublic relationsResource (disambiguation)Cohesion (chemistry)PsychologyKnowledge managementComputer sciencePolitical science

Abstract

fetched live from OpenAlex

'Friends of Design' is a resource network developed to support capstone design projects. Our goal is to provide students with access to a broad community of students, staff, faculty, and professionals who are available to provide advice. This paper discusses the necessary people, organization, and resources. The network is modeled after Malcolm Gladwell's book, the Tipping Point and its premise that successful social movements depend heavily on a few key people in the roles of Mavens, Connectors, and Salespersons. Mavens possess the technical expertise. Although faculty members naturally fit into this role, often, they have little time to assist undergraduate students, and so we draw upon alternative groups such as alumni, staff, graduate students, and professionals. Connectors provide the cohesion in the network. They link the various technical and social subcommunities. We desire a network that is not only broad in its technical knowledge, but also in its representation of the department comprised of students, alumni, staff, and faculty. Finally, salespersons are the persuaders and the leaders that drive the network, with juniors members helping bring inquiries forward and senior members enlisting fellow experts to provide responses. Drawing from the Tipping Point, the network organization and communication model follows from the popular 'six degrees of separation' concept. Student inquiries are initially handled by Connectors, whose role is not to answer the inquiry outright but rather to act as conduits, forwarding the inquiry on, until it ultimately reaches an appropriate Maven. Promoting the Connectors' role in handling inquiries is crucial to making the network scalable, and should help promote interactions across disciplines and a stronger sense of community.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score0.754

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.038
GPT teacher head0.250
Teacher spread0.212 · 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 designBench or experimental
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
Published2011
Admission routes2
Has abstractyes

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