Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
versions View all 3 versions
addClaim

Observer-Dependent Feature Emergence: Time-Dependent Observational Projections in the Law of Observation

Authors: Sambey, Stanley Everett;

Observer-Dependent Feature Emergence: Time-Dependent Observational Projections in the Law of Observation

Abstract

We formalize an observer-dependent extension of the Law of Observation in which the em-pirical feature set is not treated as fixed, but as a time-dependent projection of an underlyingadmissible domain through evolving observer constraints. Rather than assuming that the samedata are merely reinterpreted across eras, we define the accessible feature set Fp(t) as a func-tion of instrumental, cognitive, and linguistic constraint operators. This yields a simple butimportant result: in general,Fp(t1)̸ = Fp(t2),even when the underlying admissible domain remains unchanged. The difference need not implythat reality itself has changed; it can arise because the observer’s distinguishability threshold,segmentation capacity, and descriptive structure have changed. We develop the formal mappingfrom the underlying domain Ω to a time-indexed empirical feature set, define observer-dependentdistinguishability, and introduce projection and persistence operators that make explicit howfeatures emerge, persist, or disappear under changing observational regimes. This provides aclean explanation for shifting empirical domains without requiring forced unification into a singleexplanatory class. The resulting framework predicts non-converged persistent feature spaces,historical changes in accessible empirical structure, and time-dependent mismatches betweendata domains and explanatory frameworks.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!