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Record W4390477210 · doi:10.33137/js.v5i.42265

Discussion of Suggested Modifications

2023· article· en· W4390477210 on OpenAlex
Izzy Friesen, Joshua Allen, Markus Alliksaar, Amirali Atrli, Hakob Barseghyan, Spenser Borrie, Alessandra Castino, Deivide Garcia da Silva Oliveira, Rebecca Muscant, T. H. Ng, Kye Palider, Paul Patton, Gregory Rupik, Ameer Sarwar, Guo‐Gang Shan, Jamie Shaw

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueScientonomy Journal for the Science of Science · 2023
Typearticle
Languageen
FieldComputer Science
TopicScientific Research and Philosophical Inquiry
Canadian institutionsUniversity of VictoriaUniversity of Toronto
FundersFaculty of Education, Victoria University of Wellington
KeywordsEpistemologyWorkflowPsychologyComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

The paper presents the transcript of the discussions during the first scientonomy workshop that took place on February 25, 2023. The participants discussed and voted on several modifications concerning the scientonomic workflow (Sciento-2019-0007, Sciento-2019-0001, Sciento-2019-0002, Sciento-2019-0003, Sciento-2019-0004, Sciento-2019-0005, Sciento-2019-0006) as well as two modifications concerning the idea of scientificity as an epistemic stance (Sciento-2018-0013) and the respective law of theory demarcation (Sciento-2018-0014).

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)0.023
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics, Science and technology studies, Open science
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.583
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0230.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.021
Science and technology studies0.0040.019
Scholarly communication0.0010.003
Open science0.0110.001
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 head0.127
GPT teacher head0.393
Teacher spread0.265 · 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