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Record W2946300274 · doi:10.1515/css-2019-0016

Living is Surviving

2019· article· en· W2946300274 on OpenAlexaff
Eliseo Fernández

Bibliographic record

VenueChinese Semiotic Studies · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicOrigins and Evolution of Life
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsReproductionOrganismCausationEmbodied cognitionEpistemologySemiosisCommunicationSurvival of the fittestBiologySociologyEcologyEvolutionary biologyPhilosophyGeneticsSemiotics

Abstract

fetched live from OpenAlex

Abstract Beyond extrinsic survival (e.g., finding food, avoiding dangers, etc.), intrinsic survival demands continual internal repair and reconstruction to offset the effects of unrelenting internal decay and depletion. The organism must constantly re-produce the conditions of its own existence. The individual’s survival is nevertheless subordinate to that of the species, which is achieved through biological reproduction in the ordinary sense (i.e., assemblage of a working copy of the organism itself, capable of surviving and reproducing in turn.). This article relates these two types of reproduction to others, such as the reproduction of a picture, of a melody, of a movement. I believe all of these reproductive forms are based on a fundamental one, which is the condition of possibility of all forms of replication. This fundamental kind of reproduction resides in the spontaneous reproduction of events under physical causation. On this basis, I advance an interpretation of semiosis as a type of second-order causation: at the level of biosemiotic transactions, semiosis alters habits which are embodied in constraints that in turn determine the extent and direction of physical changes.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.021
Scholarly communication0.0040.006
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.014
GPT teacher head0.299
Teacher spread0.286 · 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.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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