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Record W7139380522

Vol. 1 (2015): Galbraith Society Undergraduate Engineering Journal

2015· article· en· W7139380522 on OpenAlexfundno aff
Allan Pretti Ogura, Jenny Hill, Jennifer E. Drake, Hui Huang Hoe, Donald Kirk, Andrew Hue, Katherine Le, Wing Yi (Roxana) Pao, Yindong Yang, Alexander McLean, Arthur Brown, Peter R. Grant, Jeffrey R. Osborne, Ashis Ghosh, Adam De Biasi, Hayden Lau, Jeremy Chan-Hao Wang, Kai Lon Fok, Kei Masani, Sharon Mandair, Sam Osia, Shendu Ma

Bibliographic record

VenueTSpace (University of Toronto) · 2015
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Pedagogy
Canadian institutionsnot available
FundersUniversity of TorontoToronto Rehabilitation InstituteOntario Ministry of Health and Long-Term Care
KeywordsEngineering educationWork (physics)Science and engineeringEngineering research
DOInot available

Abstract

fetched live from OpenAlex

Vol. 1 (2015): Galbraith Society Undergraduate Engineering Journal Celebrating undergraduate engineering research. Published: 2015-10-07

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.607
Threshold uncertainty score1.000

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)0.0010.000

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 head0.018
GPT teacher head0.236
Teacher spread0.217 · 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.

Study designNot applicable
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

Citations0
Published2015
Admission routes1
Has abstractyes

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