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Record W4253947574 · doi:10.1364/etop.2009.eta5

Education Programs of the Institute for Optical Sciences at the University of Toronto

2009· article· en· W4253947574 on OpenAlexaffabout
Emanuel Istrate, R. J. Dwayne Miller

Bibliographic record

VenueEducation and Training in Optics and Photonics · 2009
Typearticle
Languageen
FieldMedicine
TopicDigital Imaging in Medicine
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsComputer scienceEngineering physicsMathematics educationLibrary scienceEngineeringPsychology

Abstract

fetched live from OpenAlex

The Institute for Optical Sciences at the University of Toronto is an association of faculty members from various departments with research interests in optics. The institute has an extensive program of academic activities, for graduate and undergraduate students, as well as public outreach.For undergraduate students, we have a course on holography. We provide opportunities for students to gain optics experience through research by providing access to summer research positions and by enrolling them in the Research Skills Program, a summer course teaching the basic skills needed in research.For graduate students, we offer the Distinguished Visiting Scientists program, where world-renowned researchers come for a week, giving a series of 3 lectures and interacting closely with students and professors. The extended stay allows the program to run like a mini-course.We launched a Collaborative Master’s Program in Optics, where students earn a degree from their home department, along with a certification of participation in the collaborative program. Physics, Chemistry and Engineering students attending together are exposed to the various points of view on optics, ranging from the pure to the applied sciences.For the general public, we offer the Stoicheff Lecture, a yearly public lecture on optics, organized with the Royal Canadian Institute. Our institute also initiated Science Rendezvous, a yearly public celebration of science across the Greater Toronto Area, with lab tours, demonstrations, and other opportunities to learn about science and those who are actively advancing it. This year, this event attracted over 20,000 attendees.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.761
Threshold uncertainty score0.145

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 head0.031
GPT teacher head0.314
Teacher spread0.283 · 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 designOther design
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
Published2009
Admission routes2
Has abstractyes

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