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Record W2318970330

Calculation and Classification as Dimensions of Social Interaction

2016· article· en· W2318970330 on OpenAlexvenueno aff
Paolo Totaro

Bibliographic record

VenueCanadian social science · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicPhilosophy, Science, and History
Canadian institutionsnot available
Fundersnot available
KeywordsReciprocity (cultural anthropology)EpistemologyFunction (biology)Set (abstract data type)Computer scienceAction (physics)SociologySocial sciencePhilosophyPhysics
DOInot available

Abstract

fetched live from OpenAlex

Cassirer interpreted the transition from medieval to modern theoretical thinking as an epistemological revolution which saw the concept of function to replace that of substance as a guide to knowledge. This article suggests that, in the practical world, classification into classes, types or genres is correlated to the concept of substance, while the concept of function is present in any practical calculation in the form of algorithmic procedures. The way in which algorithmic calculation and classification interact with each other has resulted in the preservation, expansion or loss of social interaction, understood as reciprocity between actors. The action of calculation and classification can then be used as epistemological coordinates to analyze social interaction. Such systematization results in a set of schemes presented in this paper along with ethnological studies supporting the theoretical model.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.961
Threshold uncertainty score0.982

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.049
GPT teacher head0.264
Teacher spread0.216 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2016
Admission routes1
Has abstractyes

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