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Record W2810013214 · doi:10.33137/js.v1i0.26947

The Status of Normative Propositions in the Theory of Scientific Change

2016· article· en· W2810013214 on OpenAlexaffvenue
Zoe Sebastien

Bibliographic record

VenueScientonomy Journal for the Science of Science · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy and History of Science
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNormativeScope (computer science)EpistemologySet (abstract data type)Scientific theoryScientific methodMosaicComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

The scope of the Theory of Scientific Change (TSC) encompasses any and all changes that occur in a given scientific mosaic, the set of all methods employed and theories accepted at a given time by a given scientific community. Currently, theory is defined as a set of propositions that attempts to describe something. This definition excludes normative propositions from the scope of the TSC. Normative theories, such as those of methodology or ethics, have been excluded since including them appears to give rise to a destructive paradox first identified by Joel Burkholder. There are many historical cases where employed scientific methods are known to conflict with professed methodologies. This seems to violate the third and zeroth laws of scientific change. By the third law, employed methods are deducible from accepted theories. But, this seems impossible in cases where methodologies and methods conflict. Under the zeroth law, all elements in the scientific mosaic are compatible with one another. But, that seems to be clearly not the case if methodologies and methods conflict with one another. In this paper, I argue that normative propositions such as methodologies can be included in the scientific mosaic as accepted theories without generating a paradox and that neither the third nor zeroth laws of scientific change need be violated. I outline my solution to the paradox of normative theories and conclude by describing some new and exciting avenues for future research that are now open.Suggested Modifications[Sciento-2016-0001]: Accept the following reformulation of the third law:The third law ≡ a method becomes employed only when it is deducible from some subset of other employed methods and accepted theories of the time. Consequently, accept that there is no paradox of normative theories: when an employed method and an accepted methodology are logically inconsistent with one another; it merely indicates that the employed method isn’t a logical consequence of the accepted methodology. By the third law, the employed method still follows from some accepted theories, but not from this particular methodology. Reject the previous formulation of the third law; it can remain in use for educational purposes. [Sciento-2016-0002]: Provided that the preceding modification [Sciento-2016-0001] is accepted, accept the following taxonomy for theory, descriptive theory, normative theory, and methodology:Theory ≡ a set of propositions.Descriptive theory ≡ a theory that attempts to describe something.Normative theory ≡ a theory that attempts to prescribe something. Methodology ≡ a normative theory that prescribes the rules which ought to be employed in theory assessment.Modify the definition of theory acceptance to make it possible for both descriptive and normative theories to be accepted:Theory Acceptance ≡ a theory is said to be accepted if it is taken as the best available description or prescription of its object. Reject the previous definitions of theory, methodology, and theory acceptance.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.064
metaresearch head score (Gemma)0.062
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.992
Threshold uncertainty score0.341

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0640.062
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0050.004
Science and technology studies0.0080.090
Scholarly communication0.0210.034
Open science0.0040.008
Research integrity0.0110.016
Insufficient payload (model declined to judge)0.0040.001

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 head0.102
GPT teacher head0.292
Teacher spread0.190 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2016
Admission routes2
Has abstractyes

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