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Record W2022897426 · doi:10.2304/ciec.2008.9.2.148

Loss of Parenting Self-Efficacy among Immigrant Parents

2008· article· en· W2022897426 on OpenAlexaffabout
Mehrunnisa Ali

Bibliographic record

VenueContemporary Issues in Early Childhood · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicParental Involvement in Education
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsImmigrationAgency (philosophy)Raising (metalworking)Face (sociological concept)Settlement (finance)Developmental psychologySelf-efficacyPsychologySense of agencyChild rearingSocial psychologySociologyPolitical science

Abstract

fetched live from OpenAlex

The early settlement experiences of immigrant parents of young children arriving in Canada make it difficult for them to meet their young children's physiological, social and emotional needs, or to help them navigate the structures of their new environment. They lose their sense of self-efficacy in their parenting role in the face of rapid reduction in their social, emotional, cultural and financial resources. This loss of parenting self-efficacy is a consequence of systemic constraints on their ability to exercise agency in raising their children and, unless disrupted, it will perpetuate inequitable and unjust relations among racialized and white populations in Canada.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score0.259

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 studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.308
Teacher spread0.270 · 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 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

Citations63
Published2008
Admission routes2
Has abstractyes

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