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Record W2770242893 · doi:10.1080/13611267.2017.1403545

How communication context impacts judgments of a potential peer mentor

2017· article· en· W2770242893 on OpenAlex
Emily Christofides, Eileen Wood, Amanda Catherine Benn, Serge Desmarais, Krista Westfall

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

VenueMentoring & Tutoring Partnership in Learning · 2017
Typearticle
Languageen
FieldPsychology
TopicCommunication in Education and Healthcare
Canadian institutionsWilfrid Laurier UniversityUniversity of Guelph
Fundersnot available
KeywordsClosenessInterpersonal communicationPsychologySelf-disclosureSocial psychologyContext (archaeology)PerceptionInternet privacyPsychosocialReading (process)Interpersonal relationshipComputer science

Abstract

fetched live from OpenAlex

Disclosure is a critical element of interpersonal relationships and individuals are often evaluated on what they share with others, whether in personal, professional, or learning contexts. Technology now allows for many different outlets for communicating with other people. We used experimental methods to explore the impact of communication medium (i.e. print diary, online diary, blog, or email) on psychosocial perceptions of a potential peer mentor. Female participants gave more positive mentor ratings on likeability, likeliness to disclose to the mentor, and perceived closeness than did males, but not on judgments of the mentor’s privacy. Participants judged the mentor to be more private when they viewed the print diary than in the online conditions and when reading the online diary than the blog (the least private condition). We also found that women were more likely to reciprocate disclosure when they viewed disclosures in the print condition than in the blog.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score0.944

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.118
GPT teacher head0.431
Teacher spread0.314 · 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