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Record W2794379482 · doi:10.33137/js.v1i0.28234

A Taxonomy for the Social Agents of Scientific Change

2017· article· en· W2794379482 on OpenAlex
Nicholas Overgaard

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 · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy and History of Science
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIntentionalityEpistemologyAccidentalPseudoscienceScientific evidenceSociologyPhilosophyMedicine

Abstract

fetched live from OpenAlex

Although we accept that a scientific mosaic is a set of theories and methods accepted and employed by a scientific community, scientific community currently lacks a proper definition in scientonomy. In this paper, I will outline a basic taxonomy for the bearers of a mosaic, i.e. the social agents of scientific change. I begin by differentiating between accidental group and community through the respective absence and presence of a collective intentionality. I then identify two subtypes of community: the epistemic community that has a collective intentionality to know the world, and the non-epistemic community that does not have such a collective intentionality. I note that both epistemic and non-epistemic communities might bear mosaics, but that epistemic communities are the intended social agents of scientific change because their main collective intentionality is to know the world and, in effect, to change their mosaics. I conclude my paper by arguing we are not currently in a position to properly define scientific community per se because of the risk of confusing pseudoscientific communities with scientific communities. However, I propose that we can for now rely on the definition of epistemic community as the proper social agent of scientific change.Suggested Modifications[Sciento-2017-0012]: Accept the following taxonomy of group, accidental group, and community:Group ≡ two or more people who share any characteristic.Accidental group ≡ a group that does not have a collective intentionality.Community ≡ a group that has a collective intentionality. [Sciento-2017-0013]: Provided that the preceding modification [Sciento-2017-0012] is accepted, accept that communities can consist of other communities.[Sciento-2017-0014]: Provided that modification [Sciento-2017-0012] is accepted, accept the following definitions of epistemic community and non-epistemic community as subtypes of community:Epistemic community ≡ a community that has a collective intentionality to know the world.Non-epistemic community ≡ a community that does not have a collective intentionality to know the world.[Sciento-2017-0015]: Provideed that modification [Sciento-2017-0013] and [Sciento-2017-0014] are accepted, accept that a non-epistemic community can consist of epistemic communities.

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)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication, Open science
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.888
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0600.114
Scholarly communication0.0030.005
Open science0.0090.000
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 head0.369
GPT teacher head0.355
Teacher spread0.014 · 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