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Record W2396595379 · doi:10.1177/0539018416649706

Emergence and ontogenetics: Towards a communication without agent

2016· article· en· W2396595379 on OpenAlex

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.

Bibliographic record

VenueSocial Science Information · 2016
Typearticle
Languageen
FieldNeuroscience
TopicEmbodied and Extended Cognition
Canadian institutionsUniversité de Montréal
FundersLeibniz-Gemeinschaft
KeywordsPerspective (graphical)Process (computing)Opposition (politics)EpistemologySociologyCommunication studiesOrder (exchange)Computer scienceCognitive sciencePsychologySocial sciencePolitical scienceArtificial intelligenceBusinessLaw

Abstract

fetched live from OpenAlex

In the scientific community, discussions about emergence are motivated by a need to understand the process by which complex systems exhibit novel characteristics that cannot be reduced to those of their parts. The whole is thus said to be greater than the sum of the parts. We borrow from this framework in order to explore a different understanding of communication. Instead of seeing the whole as the result of a communication process between the parts, we take a step back and propose to understand communication as the process through which both parts and whole emerge. This perspective opens the possibility to think of a communication that is not the result of an exchange between pre-existing individual agents, but the very process by which individuals emerge in the first place. From the perspective of social sciences in general, and of communication studies in particular, this theoretical experimentation points towards a model that is not subordinated to the traditional opposition between parts and wholes, individuals and collectives.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.771
Threshold uncertainty score0.540

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 studies0.0010.001
Scholarly communication0.0000.002
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 head0.036
GPT teacher head0.303
Teacher spread0.267 · 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