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Record W2516076976 · doi:10.1177/0308575916662162

Between parental efficacy and parental distress: how early maladaptive schemas contribute to the motherhood experience of young mothers who have aged out of care

2016· article· en· W2516076976 on OpenAlexaff
Amélie Couvrette, Nadine Lanctôt

Bibliographic record

VenueAdoption & Fostering · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Support in Illness
Canadian institutionsUniversité de SherbrookeUniversité du Québec en Outaouais
Fundersnot available
KeywordsPsychologyDevelopmental psychologyDistressPaternal careClinical psychologyPregnancyOffspring

Abstract

fetched live from OpenAlex

The present study aims to explore, using Young’s early maladaptive schemas (EMS), the cognitive and emotional dimensions associated with the experience of motherhood of young women ageing out of care. It also assesses the relationships between EMS and two dimensions of the parental role (parental efficacy and parental distress). The sample is composed of 29 young mothers who were placed in care as adolescents. Parental efficacy was significantly correlated with only one EMS: Social Isolation/Alienation. Parental distress was moderately and positively correlated with the following EMS: Mistrust/Abuse, Emotional Deprivation, Social Isolation/Alienation and Enmeshment/Undeveloped Self. Results showed a more comprehensive picture of these young mothers’ pervasive patterns of emotions and cognitions. This picture is more balanced than the poor mothering outcomes typically associated with early motherhood in the scientific literature, or the overly positive depictions of young motherhood that have emerged from some qualitative studies. Implications for intervention are discussed.

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 score0.083
Threshold uncertainty score0.416

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 head0.036
GPT teacher head0.293
Teacher spread0.257 · 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

Citations5
Published2016
Admission routes1
Has abstractyes

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