MétaCan
Menu
Back to cohort
Record W4224220707 · doi:10.1080/13598139.2022.2064270

Outlanders: Loneliness experience of gifted girls

2022· article· en· W4224220707 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

VenueHigh Ability Studies · 2022
Typearticle
Languageen
FieldPsychology
TopicPsychological and Temporal Perspectives Research
Canadian institutionsWestern University
Fundersnot available
KeywordsLonelinessPsychologyQualitative researchPerceptionDevelopmental psychologySocial psychology

Abstract

fetched live from OpenAlex

The purpose of this qualitative research was to explore how gifted girls perceived and coped with loneliness and the relationship between loneliness and giftedness from their perspectives. Participants were four middle-school gifted girls. A loneliness scale was used to select gifted students with a high level of loneliness experience. In-depth semi-structured interviews were conducted with each participant. In addition, they drew pictures of loneliness. Participants associated loneliness with exclusion. They felt like an outlander in their schools due to being treated like a stranger by their peers. Being alone gradually transformed from an imposed state into a choice for the participants. Their loneliness was rooted in their dissimilarities from peers, how they interacted with peers and being unaware of their behavioral problems. The way they coped with loneliness reflected their perceptions of loneliness.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.179
GPT teacher head0.460
Teacher spread0.281 · 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