Contextual Interpersonal Calibration (CIC)

Contextual Interpersonal Calibration (CIC) is a method for autistic adults decoding implicit communicative codes in neurotypical-majority environments, formalized here as an explicit, iterative alternative to communicative intuition. The method proceeds through a recursive cycle of observation, local hypothesis, register selection, and falsification, tracked across six operational variables including cognitive cost. CIC positions itself relative to Communication Accommodation Theory, single-case ABAB experimental design, and Bayesian models of social inference, combining elements of each into a procedure usable in real time without training in any of the three fields. The method functions as a bridge rather than a permanent adaptation: it represents only the autistic person's half of a relational approach, with reciprocity from the interlocutor tracked as a variable subject to the same falsification discipline as any other hypothesis. CIC is presented as an operational proposal grounded in nearly fifty years of the author's own recursive practice; the literature cited documents the communicative problem it responds to and the theoretical precedents the procedure draws on, rather than validating the procedure's own efficacy.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-24
DOI
https://doi.org/10.5281/zenodo.22931669
Primary Topic
Autism Spectrum Disorder Research
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

Contextual Interpersonal Calibration (CIC)

Gajewski Christian
Zenodo (CERN European Organization for Nuclear Research)
Autism Spectrum Disorder Research
preprint

Contextual Interpersonal Calibration (CIC)

Gajewski Christian
preprint en

Abstract

Contextual Interpersonal Calibration (CIC) is a method for autistic adults decoding implicit communicative codes in neurotypical-majority environments, formalized here as an explicit, iterative alternative to communicative intuition. The method proceeds through a recursive cycle of observation, local hypothesis, register selection, and falsification, tracked across six operational variables including cognitive cost. CIC positions itself relative to Communication Accommodation Theory, single-case ABAB experimental design, and Bayesian models of social inference, combining elements of each into a procedure usable in real time without training in any of the three fields. The method functions as a bridge rather than a permanent adaptation: it represents only the autistic person's half of a relational approach, with reciprocity from the interlocutor tracked as a variable subject to the same falsification discipline as any other hypothesis. CIC is presented as an operational proposal grounded in nearly fifty years of the author's own recursive practice; the literature cited documents the communicative problem it responds to and the theoretical precedents the procedure draws on, rather than validating the procedure's own efficacy.

Zenodo (CERN European Organization for Nuclear Research)
Ronin Institute (US), Ronin Institute for Independent Scholarship 2.0 (US)
Quality Education
Autism Spectrum Disorder Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Contextual Interpersonal Calibration (CIC) — Gajewski Christian · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS