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Philosophy, activity, life

2022· article· en· W4317564372 on OpenAlexaff
D. Bakhurst

Bibliographic record

VenuePhilosophy of Science and Technology · 2022
Typearticle
Languageen
FieldNeuroscience
TopicEmbodied and Extended Cognition
Canadian institutionsQueen's University
Fundersnot available
KeywordsAction (physics)IntentionalityEpistemologyEmbodied cognitionContext (archaeology)Agency (philosophy)ConsciousnessHonorSubject (documents)Relation (database)SociologyPsychologyPhilosophyHistory

Abstract

fetched live from OpenAlex

This paper, written to honor Prof. Vladislav Lektorsky on the occasion of his 90th birthday, addresses a subject to which Lektorsky has returned many times in the course of his long and distinguished career: the concept of activity. I begin with the distinction between activity and action, arguing against the view, associated with Leontiev, that actions are components of activities. In my view, the distinction between activity and action is an aspectual rather than ontological or mereological one. I then draw on the analysis of intentional action offered by G.E.M. Anscombe to argue that her understanding of action, intention and practical knowledge, when supplemented by insights from MacIntyre, McDowell and others, provides grounds to endorse three theses central to the activity approach (theses I find in Prof. Lektorsky’s recent summation of the tradition): that (i) consciousness, the inner plane of our mental lives, can be understood only in relation to the forms of our activity as embodied beings; (ii) human agency and behavior cannot be described or explained without essential reference to the social, cultural and historical context; and (iii) selves or persons are constituted in and through their activity. I then consider the objection that my analysis is too focused on the intentional activities of the individual, at the expense of the collective. I reply that the unit of analysis is neither the individual nor the collective, but the human life form. There is plenty of room, as there must be, for countenancing joint, shared and collective intentionality, and for recognizing that individuals and collectives do many things unintentionally. But no sense can be made of any of that without a robust account of intentional action. I believe my findings are congenial to three themes that characterize the legacy of Vladislav Lektorsky: (i) respect for the phenomenology of everyday thought and experience; (ii) humanism; and (iii) the belief that much is to be gained by bringing Russian philosophy into constructive dialogue with fruitful trends in Anglo-American philosophy.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.349
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.045
GPT teacher head0.269
Teacher spread0.224 · 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.

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
Published2022
Admission routes1
Has abstractyes

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