Dmitry Zharnikov

The Rendering Problem in Brand Perception: From Genetic Expression to the Perception Cloud

ABSTRACT Brand perception is constructed by audiences, not contained in a brand's design artefacts, yet branding theory lacks a structural account of why one fixed brand specification yields divergent perceptions across audiences and over time. This paper identifies the rendering...

The Label Moves the Reading: Entity-Name Leakage in Language-Model Dimensional Ratings of a Fixed Text

A dimensional rating produced by a language model over a written artifact is normally treated as a reading of that artifact. This study shows it is not purely that. Holding an artifact byte-identical and exchanging only the entity name it concerns, an eight-dimensional profile mo...

When a Boundary Claim Becomes Testable: A Criterion for Adjudicating Scale-Relative Claims, with One Coded Case

Claims that a self-maintaining or cognitive system extends to some scale are chronically underdetermined: in the cases usually discussed the investigator draws the boundary, and can redraw it around whatever is interesting. The standing defence of realism about such boundaries co...

Verification Bandwidth Under Correlated Evaluators: What an Effective-Sample-Size Statistic Measures in an Acceptance Cascade

Organizational verification is representable as an orthogonal projection whose rank bounds what an organization detects about itself, but that formalization assumes one evaluator per acceptance test and supplies no procedure for estimating the projection. This paper establishes w...

Unitization Before Extraction: A Pre-Registered Decomposition of Disagreement in Machine Recovery of Dependency Structure

Machine-extracted argument structures are increasingly read as evidence about how fields move, so measurement error entering at extraction propagates into whatever is built on the extracted graph. In a prior pre-registered run, two machine operators did not recover the dependency...

Internalization as an Operation: Recovering the Dependency Structure of a Result, and a Pre-Registered Failure to Do So

Machine systems now produce results faster than readers absorb them, and machine-generated summaries are widely observed to emphasize the wrong material. This paper argues the failure is structural, not one of model capability. Given only prose, a renderer can weight content by p...

A Large-N Confirmatory Necessary-Condition Test of Closing-Time Structural Gaps in Acquisition Integration Failure

Post-acquisition integration outcomes remain hard to predict at signing: meta-analysis attributes their variance to unidentified moderators, yet the field lacks a structural, pre-close, checkable predictor. This study tests, confirmatorily and at large N, whether a closing-time c...

Tier-Bundle Algebra in Inter-Organizational Resource Transfer: A Fork-Operation Formalism Over the Six-Tier Acquisition-Target Ontology

An acquisition is not a monolithic transfer of a firm but a bundle of tier-level transfers, and integration risk arises when the bundle severs a dependency that day-to-day operation requires. This paper develops a compositional grammar for that structure over the six-tier acquisi...

A Blinded Multi-LLM Content-Coding Instrument: Protocol Specification and Inter-Coder Reliability Validation on an Organizational Corpus

Content analysis in organizational research depends on inter-coder reliability, but human coding is slow and costly and single-model LLM coding is unauditable. This paper specifies a blinded multi-LLM content-coding instrument: several large language models independently code the...

Tier-Bundle Algebra in Inter-Organizational Resource Transfer: A Fork-Operation Formalism Over the Six-Tier Acquisition-Target Ontology

An acquisition is not a monolithic transfer of a firm but a bundle of tier-level transfers, and integration risk arises when the bundle severs a dependency that day-to-day operation requires. This paper develops a compositional grammar for that structure over the six-tier acquisi...

A Blinded Multi-LLM Content-Coding Instrument: Protocol Specification and Inter-Coder Reliability Validation on an Organizational Corpus

Content analysis in organizational research depends on inter-coder reliability, but human coding is slow and costly and single-model LLM coding is unauditable. This paper specifies a blinded multi-LLM content-coding instrument: several large language models independently code the...