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Record W4387743984 · doi:10.3390/socsci12100577

Is the Coming Out of an LGBTQIA+ Child a Death-like Event for Italian Parents?

2023· article· en· W4387743984 on OpenAlexaboutno aff
Nicola Biancotto, Gianmarco Biancalani, Lucia Ronconi, Ines Testoni

Bibliographic record

VenueSocial Sciences · 2023
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
FundersUniversità degli Studi di Padova
KeywordsPsychologyGriefScale (ratio)Developmental psychologyAlexithymiaMeaning (existential)Clinical psychologyPsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

Parents of LGBTQIA+ individuals often report experiencing an affective state similar to grief after their children’s coming out. The current study explores whether this experience resembles that of people who have recently lost someone close. Furthermore, we tested whether the parents’ alexythimic traits are associated with their grief-like experience. In a sample of 194 parents who experienced their children’s coming out, we administered the Integration of Stressful Life Events Scale (ISLES), the Social Meaning In Life Events Scale (SMILES), and the Toronto Alexithymia Scale (TAS-20). The results showed no significant differences in the mean scores of ISLES and SMILES between the present and bereaved samples by their creators. In addition, in the present sample, lower ISLES and SMILES scores were associated with higher alexithymic traits. Overall, these findings suggest a resemblance between the experience of parents following their children’s coming out and that of bereaved individuals. Therefore, they could inform on how to assist parents in coming to terms with the coming out of an LGBTQIA+ child.

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)0.000
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 score0.153
Threshold uncertainty score0.364

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.080
GPT teacher head0.395
Teacher spread0.316 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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