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Record W2588743439 · doi:10.1021/acs.jchemed.6b00709

The Chemistry Teaching Fellowship Program: Developing Curricula and Graduate Student Professionalism

2017· article· en· W2588743439 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Chemical Education · 2017
Typearticle
Languageen
FieldChemistry
TopicVarious Chemistry Research Topics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCurriculumMathematics educationChemistryMedical educationEngineering physicsEngineering ethicsPedagogyEngineeringPsychologyMedicine

Abstract

fetched live from OpenAlex

The Chemistry Teaching Fellowship Program (CTFP) is offered to graduate students and postdoctoral researchers at the University of Toronto as an opportunity to undertake curriculum development and chemistry education research. Projects are run with faculty supervision and focus on designing new laboratory activities, lectures, tutorials, workshops, and assignments. Since its launch in 2002, many CTFP projects have been implemented in the departmental undergraduate curriculum, and several have been published in this Journal . The structure and history of the CTFP and its impact on undergraduate education and graduate student professional development is discussed in this paper, with a selection of projects highlighted as case studies. The CTFP provides a successful model of curriculum renewal that can easily be incorporated into other chemistry departments.

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)0.001
metaresearch head score (Gemma)0.002
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.245
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.072
GPT teacher head0.441
Teacher spread0.369 · 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