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Record W2501684368 · doi:10.1007/978-94-6300-349-0_2

Being and becoming scientists

2016· book-chapter· en· W2501684368 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

VenueSensePublishers eBooks · 2016
Typebook-chapter
Languageen
FieldPsychology
TopicScience Education and Perceptions
Canadian institutionsYork University
Fundersnot available
KeywordsComicsGalileo (satellite navigation)Marie curieEinsteinArt historyArtPopular mediaCharles darwinVisual artsLiteratureMedia studiesSociologyPhilosophyPhysicsEpistemologyGeography

Abstract

fetched live from OpenAlex

Imagine you are a child of 4 or 5 years and have never met a scientist. The only images of scientists you’ve seen are from popular media outlets such as cartoons, movies, advertisements, comic books, and TV. These images are almost always of either great scientists like Albert Einstein, Isaac Newton, Galileo Galilei, Charles Darwin, and Marie Curie, or fictional characters that wear lab coats and goggles, and work with brightly colored, dangerous, bubbling chemicals in a laboratory.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.799
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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.001

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 head0.058
GPT teacher head0.329
Teacher spread0.271 · 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