{"id":"https://openalex.org/W7224106241","doi":"https://doi.org/10.5281/zenodo.23725969","title":"Context-Calibrated Interpersonal Predictive Integration Theory (CCIPIT)","display_name":"Context-Calibrated Interpersonal Predictive Integration Theory (CCIPIT)","publication_year":2026,"publication_date":"2026-10-28","ids":{"openalex":"https://openalex.org/W7224106241","doi":"https://doi.org/10.5281/zenodo.23725969"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.23725969","doi":"https://doi.org/10.5281/zenodo.23725969","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23725969","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"volume":null,"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.23725969","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5152320903","display_name":"Shamiul Hoque Shan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shan, Shamiul Hoque","raw_affiliation_strings":["Independent Researcher"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Independent Researcher","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5152320903"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.8910999894142151,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.8910999894142151,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14394","display_name":"Cognitive Science and Education Research","score":0.03020000085234642,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11431","display_name":"Action Observation and Synchronization","score":0.01860000006854534,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/contextual-interpretation","display_name":"contextual interpretation","score":0.3720000088214874},{"id":"https://openalex.org/keywords/intuition","display_name":"intuition","score":0.3140000104904175},{"id":"https://openalex.org/keywords/predictive-distribution","display_name":"predictive distribution","score":0.32499998807907104},{"id":"https://openalex.org/keywords/hypothesis-testing","display_name":"hypothesis testing","score":0.5649999976158142},{"id":"https://openalex.org/keywords/communication-delay","display_name":"communication delay","score":0.460999995470047},{"id":"https://openalex.org/keywords/message-style","display_name":"message style","score":0.8259999752044678}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5681999921798706},{"id":"https://openalex.org/C164850336","wikidata":"https://www.wikidata.org/wiki/Q3685487","display_name":"Interpersonal communication","level":2,"score":0.5550000071525574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5370000004768372},{"id":"https://openalex.org/C2780343955","wikidata":"https://www.wikidata.org/wiki/Q333173","display_name":"Surprise","level":2,"score":0.4982999861240387},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4950000047683716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4927000105381012},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.44179999828338623},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4406000077724457},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.4332999885082245},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4129999876022339},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.3813000023365021},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37529999017715454},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.32269999384880066},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3142000138759613},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.295199990272522},{"id":"https://openalex.org/C166052673","wikidata":"https://www.wikidata.org/wiki/Q83021","display_name":"Empirical evidence","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C53059260","wikidata":"https://www.wikidata.org/wiki/Q374758","display_name":"Multilevel model","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2745000123977661},{"id":"https://openalex.org/C521332185","wikidata":"https://www.wikidata.org/wiki/Q185816","display_name":"Analogy","level":2,"score":0.274399995803833},{"id":"https://openalex.org/C91034043","wikidata":"https://www.wikidata.org/wiki/Q223642","display_name":"Interpersonal relationship","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.2556000053882599}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.23725969","doi":"https://doi.org/10.5281/zenodo.23725969","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23725969","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},{"id":"doi:10.5281/zenodo.23725970","doi":"https://doi.org/10.5281/zenodo.23725970","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23725970","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.5281/zenodo.23725969","doi":"https://doi.org/10.5281/zenodo.23725969","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23725969","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1493378539","https://openalex.org/W2022889581","https://openalex.org/W325203944","https://openalex.org/W2739438176","https://openalex.org/W2566194616","https://openalex.org/W7118185748","https://openalex.org/W7115192360","https://openalex.org/W2955233570","https://openalex.org/W7221779254","https://openalex.org/W6960287385"],"abstract_inverted_index":{"People":[0],"often":[1],"notice":[2],"that":[3,193,202,208],"another":[4,63,212],"person's":[5,64,213],"communication":[6],"has":[7],"changed":[8,16],"before":[9],"they":[10],"can":[11],"articulate":[12],"which":[13],"observable":[14],"features":[15],"or":[17,126,207,259],"what":[18],"those":[19,168],"changes":[20],"mean.":[21],"Such":[22],"experiences":[23],"may":[24],"involve":[25],"learned":[26],"expectations,":[27],"contextual":[28,119],"interpretation,":[29],"uncertainty,":[30],"affect,":[31],"and":[32,46,87,98,106,129,148,160,185,221,228,254],"later":[33],"verification.This":[34],"manuscript":[35,132],"proposes":[36],"the":[37,69,104,165,199],"Context-Calibrated":[38],"Interpersonal":[39],"Predictive":[40],"Integration":[41,73],"Theory":[42],"(CCIPIT),":[43],"a":[44,56,149,194,238],"conceptual":[45],"computational":[47],"framework":[48,174],"for":[49,242],"separating":[50],"these":[51,109],"operations":[52],"rather":[53],"than":[54],"treating":[55],"felt":[57,256],"intuition":[58,203],"as":[59],"direct":[60],"evidence":[61],"of":[62,108],"internal":[65],"state.Its":[66],"default":[67],"mechanism,":[68],"Relational":[70],"Prediction":[71],"Error":[72],"Loop":[74],"(R-PEIL),":[75],"comprises":[76],"individualized":[77],"baseline":[78,220],"learning,":[79],"context-aware":[80],"observation,":[81],"feature":[82],"operationalization,":[83],"predictive-distribution":[84],"estimation,":[85],"discrepancy":[86],"surprise":[88],"measurement,":[89],"competing-hypothesis":[90],"inference,":[91],"person-specific":[92],"calibration,":[93],"affective":[94],"reporting,":[95],"decision":[96],"selection,":[97],"feedback-based":[99],"updating.A":[100],"13-layer":[101],"architecture":[102,241],"specifies":[103],"functions":[105],"interfaces":[107],"operations.":[110],"A":[111],"probabilistic":[112,230],"state":[113],"model":[114],"distinguishes":[115,176],"ordinary":[116],"variability,":[117],"temporary":[118],"change,":[120,124,179,182],"recurring":[121],"interpersonal":[122,245],"pattern":[123],"measurement":[125,138],"channel":[127],"artifacts,":[128],"unresolved":[130],"cases.The":[131],"defines":[133],"candidate":[134],"variables,":[135],"mathematical":[136],"forms,":[137],"rules,":[139],"boundary":[140],"conditions,":[141],"testable":[142],"hypotheses,":[143],"falsification":[144],"criteria,":[145],"simulation":[146],"requirements,":[147],"staged":[150],"empirical":[151,172],"program.A":[152],"worked":[153],"primary":[154],"case,":[155],"DCPS-01,":[156],"uses":[157],"illustrative":[158],"communication-latency":[159],"message-style":[161],"values":[162,169],"to":[163],"demonstrate":[164],"inferential":[166],"sequence;":[167],"are":[170,248,252],"not":[171,191,261],"observations.The":[173],"explicitly":[175],"observed":[177],"behavioral":[178,246],"inferred":[180],"relational":[181],"subjective":[183],"intuition,":[184],"independently":[186,263],"verified":[187],"state.":[188],"It":[189],"does":[190],"claim":[192],"specific":[195],"neural":[196],"circuit":[197],"implements":[198],"proposed":[200],"algorithm,":[201],"is":[204],"necessarily":[205],"accurate,":[206],"digital":[209],"cues":[210],"reveal":[211],"intentions.CCIPIT":[214],"should":[215],"be":[216,237],"evaluated":[217],"against":[218],"simpler":[219],"context-only":[222],"models":[223],"using":[224],"preregistered,":[225],"out-of-sample":[226],"tests":[227],"calibrated":[229],"metrics.":[231],"Its":[232],"contribution,":[233],"if":[234],"supported,":[235],"would":[236],"common":[239],"operational":[240],"investigating":[243],"how":[244,250],"expectations":[247],"learned,":[249],"deviations":[251],"interpreted,":[253],"when":[255],"impressions":[257],"do":[258,260],"track":[262],"assessed":[264],"change.":[265]},"counts_by_year":[],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2026-10-29T00:00:00"}
