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Record W4285041318 · doi:10.1111/pere.12431

Conceptions and the experience of friendship in <scp>underrepresented</scp> groups

2022· article· en· W4285041318 on OpenAlexaff
Beverley Fehr, Cheryl Harasymchuk

Bibliographic record

VenuePersonal Relationships · 2022
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsCarleton UniversityUniversity of Winnipeg
FundersJohn Templeton Foundation
KeywordsFriendshipHomophilyMainstreamEthnic groupDiversity (politics)Sexual orientationSocial psychologyPsychologyPsychological interventionRace (biology)Cultural diversitySexual minorityMeaning (existential)Gender studiesSociologyPolitical science

Abstract

fetched live from OpenAlex

Abstract The authors reviewed the literature on the meaning and experience of friendship for members of underrepresented groups (sexual orientation and gender diversity, race and ethnicity). It is argued that many of the variables that contribute to friendship formation among mainstream groups (found in past research) also apply to underrepresented groups (e.g., environments that bring people into contact with one another, homophily). There also are commonalities in the friendship maintenance processes of mainstream and underrepresented groups (e.g., self‐disclosure, provision of support). However, the authors' main point is that there are additional challenges and barriers that are encountered by members of sexual and gender diverse groups and racial and ethnic minorities, and the intersections of those identities, particularly when forming and maintaining friendships with people of majority status. The authors elucidate these challenges and discuss interventions for increasing the diversity of friends in people's networks. In addition, the authors identify significant gaps in the literature on the friendship worlds of diverse groups and offer directions for future research.

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.

How this classification was reachedexpand

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.329
Threshold uncertainty score0.530

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.057
GPT teacher head0.367
Teacher spread0.310 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2022
Admission routes1
Has abstractyes

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