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Record W2915352994 · doi:10.33137/js.v2i0.29645

The Status of Technological Knowledge in the Scientific Mosaic

2018· article· en· W2915352994 on OpenAlex
Maxim Mirkin

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 · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy and History of Science
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEpistemologyNormativeSociology of scientific knowledgeTechnological changeTacit knowledgeNatural (archaeology)Computer scienceSociologyPhilosophyArtificial intelligence

Abstract

fetched live from OpenAlex

In this paper, I argue that there is accepted propositional technological knowledge which appears to exhibit the same patterns of change as questions, theories, and methods in the natural, social, and formal sciences. I show that technological theories attempting to describe the construction and operation of artifacts as well as to prescribe their correct mode of operation are not merely used, but also often accepted by epistemic agents. Since technology often involves methods different from those found in science and produces normative propositions, many of which remain tacit, one may be tempted to think that changes in technological knowledge should be somehow exempt from the laws of scientific change. Indeed, it seems tacitly accepted in the scientonomic community that, while scientific communities clearly accept theories, technological communities merely use them. As a result, scientonomy currently deals with natural, social, and formal sciences, and the status of technological knowledge within the scientonomic ontology remains unclear. To help elucidate the topic, I propose that the historical cases of sorting algorithms, telescopes, crop rotation, and colorectal cancer surgeries confirm that technological theories and methods are often an integral part of an epistemic agent’s mosaic and seem to exhibit the same scientonomic patterns of change typical of accepted theories therein. Thus, I suggest that propositional technological knowledge can be part of a mosaic. Suggested Modifications [Sciento-2018-0011]: Accept the three-fold distinction between explicit, explicable-implicit, and inexplicable with the following definitions: Explicit ≡ propositional knowledge that has been openly formulated by the agent. Explicable-Implicit ≡ propositional knowledge that hasn’t been openly formulated by the agent. Inexplicable ≡ non-propositional knowledge, i.e. knowledge that cannot, even in principle, be formulated as a set of propositions. Also accept the following definition of implicit: Implicit ≡ not explicit. [Sciento-2018-0012]: Accept that propositional technological knowledge – i.e. technological questions, theories, and methods – can be part of a mosaic. Also accept the following questions as legitimate topics of scientonomic inquiry: History of Technological Mosaics: What technological theories were accepted and what technological methods were employed by different epistemic agents at different time periods? The Status of Inexplicable Knowledge: Is there such a thing as inexplicable knowledge? Typology of Technological Knowledge: What types of technological knowledge are there?

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)0.026
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 score0.800
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0260.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0190.235
Scholarly communication0.0020.002
Open science0.0080.000
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 head0.085
GPT teacher head0.310
Teacher spread0.225 · 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