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Record W3096947295 · doi:10.1002/acp.3762

Exploring the use of rapport in professional information‐gathering contexts by systematically mapping the evidence base

2020· article· en· W3096947295 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

VenueApplied Cognitive Psychology · 2020
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsCarleton University
FundersEconomic and Social Research Council
KeywordsPsychologyInclusion (mineral)Social psychologyField (mathematics)Applied psychology

Abstract

fetched live from OpenAlex

Summary A growing body of research illustrates consensus between researchers and practitioners that developing rapport facilitates cooperation and disclosure in a range of professional information gathering contexts. In such contexts, rapport behaviors are often intentionally used in an attempt to facilitate a positive interaction with another adult, which may or may not result in genuine mutual rapport. To examine how rapport has been manipulated and measured in professional contexts we systematically mapped the relevant evidence‐base in this field. For each of the 35 studies that met our inclusion criteria, behaviors associated with building rapport were coded in relation to whether they were verbal, non‐verbal, or para‐verbal. Methods to measure rapport were also coded and recorded, as were different types of disclosure. A Searchable Systematic Map was produced to catalogue key study characteristics. Discussion focuses on the underlying intention of the rapport behaviors that featured most frequently across 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.587
Threshold uncertainty score0.418

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.361
GPT teacher head0.404
Teacher spread0.043 · 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