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Record W4403826954 · doi:10.1109/mpot.2024.3469469

A path for STEM outreach and sustainability education [STEM Education]

2024· article· en· W4403826954 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.

Bibliographic record

VenueIEEE Potentials · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSustainability in Higher Education
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsOutreachSustainabilityPath (computing)Path analysis (statistics)Engineering managementBusinessTelecommunicationsComputer scienceEngineeringEconomicsEconomic growthComputer network

Abstract

fetched live from OpenAlex

Effective science, technology, engineering and math (STEM) education should encourage students to think holistically about the impact they will have on society beyond the classroom. It should encourage students to imagine, and problem solve for a better world in which we all strive to meet the United Nations Sustainable Development Goals (UN SDGs). STEM outreach should ensure that the makers and doers of STEM projects are empowered by mentors who want to have their own purpose surpassed by more innovative ideas of the next generation so that humanity is propelled forward – together. This article provides both conceptual and pragmatic examples of this vision for STEM outreach and sustainability and challenges the reader to start engaging these ideas towards the vision set out thirty-seven years ago called “Our Common Future.”

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)0.002
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 score0.648
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0000.000
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 head0.020
GPT teacher head0.374
Teacher spread0.354 · 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