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Record W4361244095 · doi:10.1111/apa.16779

Gratitude, fragility and strength: Perspectives of adults born preterm about prematurity

2023· article· en· W4361244095 on OpenAlexafffund
Camille Girard‐Bock, Thuy Mai Luu, Claude Julie Bourque, Anne Monique Nuyt, Keith J. Barrington, Annie Janvier

Bibliographic record

VenueActa Paediatrica · 2023
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchCentre hospitalier universitaire Sainte-Justine
KeywordsMedicineGratitudeFragilityPediatricsSocial psychology

Abstract

fetched live from OpenAlex

AIM: The aim of the study was to explore how young adults thought that being born preterm had affected their lives. METHODS: Adult participants of a research cohort were questioned about their perspectives. Answers were analysed using mixed methods. RESULTS: Forty-five participants evaluated their health at median score of 8/10. When asked about the meaning of being born preterm, 65% had positive self-centred answers, invoking two main themes: being stronger/'a fighter'/more resilient and being a survivor/chosen; 42% also reported negative themes, such as having health problems and a difficult start. All heard about their prematurity from their parents, 55% with positive child-centred or healthcare system-centred themes, 19% with neutral themes; 35% also heard negative parent-centred themes (tragic experience, guilt, mother's health). When asked which words were associated with prematurity, participants mainly chose positive words for themselves and their family, but more negative words for how the media and society depicted prematurity. Answers were not correlated with adverse objective health measures. CONCLUSION: Participants evaluated their health in a balanced fashion. Preterm-born adults often feel that they have experienced positive transformations as a result of their traumatic start. They often have feelings of gratitude and strength, independent of health problems.

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 score0.099
Threshold uncertainty score0.535

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 head0.008
GPT teacher head0.249
Teacher spread0.241 · 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

Citations9
Published2023
Admission routes2
Has abstractyes

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