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Record W4293253414 · doi:10.34190/eckm.23.2.465

Semiotic Inception, Attitude Altering, and Behavioral Expression: Understanding the Foundation of Organizational Knowledge Construction

2022· article· en· W4293253414 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

VenueEuropean Conference on Knowledge Management · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Identity and Reputation
Canadian institutionsQuest University Canada
Fundersnot available
KeywordsSemioticsSign (mathematics)Foundation (evidence)Expression (computer science)PsychologyEpistemologyCognitionSpace (punctuation)Cognitive scienceKnowledge managementCognitive psychologyComputer scienceSocial psychologySociologyMathematicsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This study explores the theory of semiotics and how it is processed in the cognitive space of a person (a complex adaptive system) with a focus on an individual’s response to persuasive arousal, how behavior is altered, and how habits are formulated. The study involves reviewing on the theory of semiotics, attitude altering, and behavior enactment. An SIAB framework is constructed from the combination of multiple fields of knowledge domains. The proof of the framework construction validity is verified by systematic literature review and meta-analysis techniques on the past marketing semiotic research. The framework can explain how humans incept the sign, how the sign influences attitudes, and how behavior is expressed. The SIAB framework can be the foundation to explain how individual knowledge is constructed, which can support many future studies.

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)0.001
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 score0.724
Threshold uncertainty score0.822

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.072
GPT teacher head0.271
Teacher spread0.199 · 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