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Record W2075681049 · doi:10.1097/pep.0b013e318227cc6b

Perceptions of Vulnerability and Variations in Childrearing Practices of Parents of Infants Born Preterm

2011· article· en· W2075681049 on OpenAlexaffabout
Doreen J. Bartlett, Maria W. G. Nijhuis–van der Sanden, Bjørg Fallang, Jamie Kneale Fanning, Samantha Doralp

Bibliographic record

VenuePediatric Physical Therapy · 2011
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsWestern University
Fundersnot available
KeywordsVulnerability (computing)PerceptionDevelopmental psychologyPsychologyPediatricsMedicineComputer science

Abstract

fetched live from OpenAlex

In Brief Introduction and Purpose: To determine differences in Canadian, Norwegian, and Dutch parents' perceptions of vulnerability of their infants born preterm and their childrearing practices. Methods: This observational study included 62 infants born preterm (46% boys) and their parents. Parents completed the Beliefs About My Baby Scale and the Daily Activities of Infants Scale when infants were between 4 and 11 months corrected age. One-way analyses of variance were conducted. Results: Parents in the Netherlands perceived their infants as being more vulnerable than parents in the other countries (P < .001). The total Daily Activities of Infants Scale scores did not differ across countries. Parents who received therapy services had greater perceptions of their infants' vulnerability than parents not receiving services (P = .01). Conclusions: Prematurity stereotyping is not limited to North America. Service providers need to consider therapy for infants born preterm from a strength-based rather than disability perspective. The authors found that parents in the Netherlands perceived their infants as being more vulnerable than parents in the other countries and parents who received therapy had greater perceptions of their infants' vulnerability than those not receiving services, causing them to suggest considering therapy for infants born preterm from a strengths-based rather than disability perspective.

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 score0.016
Threshold uncertainty score0.280

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 head0.039
GPT teacher head0.321
Teacher spread0.282 · 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

Citations11
Published2011
Admission routes2
Has abstractyes

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