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Record W2619760091 · doi:10.71781/5597

Parenting a child with leukemia : mothers' and fathers' sense of competence and orientation towards uncertainty

2007· dissertation· en· W2619760091 on OpenAlexaboutno aff
Konstantina Fyta

Bibliographic record

VenueOpen MIND · 2007
Typedissertation
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsnot available
Fundersnot available
KeywordsCompetence (human resources)Developmental psychologyPsychologyLeukemiaSocial psychologyMedicineImmunology

Abstract

fetched live from OpenAlex

Childhood cancer places a heavy burden on all family members by threatening their personal equilibrium and well being.The dual purpose of the study is to explore and describe mothers' and fathers' orientation towards uncertainty and to illustrate parents' perceptions of competence in terms ofday-to-day experiences parenting a child with a chronic illness.Data were collected from a total of 1$ couples who completed the Parenting $ense of Competence Scale (PSOC, Johnston & Mash, 1989), the Uncertainty Orientation measures (Sorrentino, Hanna, & Roney, 1992), and a serni-structured interview about their perceptions of competence and experiences of uncertainty.Findings revealed mothers as most moderate-oriented and fathers as rnost uncertainty oriented.No opposite uncertainty-orientation profiles were found arnong couples.Although findings revealed no statistically significant differences between mothers' and fathers' perception of competence, interview data show maternai dissatisfaction when it cornes to parenting and a paternal lack of ability to cope with the child's illness.Results also shed light on the relationship between parents' uncertainty orientation and their perceived sense of competence, as predictors for effective parenting in a farnily struggling with a chronically ill child.Overali, the findings are encouraging to elicit further approaches to acquiring information about parents' characteristics and their orientation towards uncertainty.Psycho-educationai programs focusing on parents with the aim to improve the parents' sense of competence and mastering uncertainty under iife-threatening conditions might be of benefit to the whole famiiy.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.202
Threshold uncertainty score0.401

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.024
GPT teacher head0.339
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2007
Admission routes1
Has abstractyes

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