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Record W7064905952

The Cultural Competency of Parenting Support Programs for Newcomer Immigrant Parents in the Lower Mainland of British Columbia, Canada

2014· dissertation· en· W7064905952 on OpenAlexaboutno aff

Bibliographic record

VenueNational University System Repository (National University System) · 2014
Typedissertation
Languageen
FieldEngineering
TopicSilicon and Solar Cell Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationAcculturationMainlandCultural humilitySituational ethicsGovernment (linguistics)MulticulturalismCultural competence
DOInot available

Abstract

fetched live from OpenAlex

Drawing on concepts from the psychology of acculturation and cross-cultural theory, this qualitative research study involves an interpretative approach to parenting programs for newcomers in the Lower Mainland of British Columbia. This explorative study applies a document analysis method (Bowen, 2009), and aims to identify principles and elements of cultural competency (Sue & Sue, 2013), cultural safety (Ball, 2008; DeSouza, 2008), cultural humility (Tervalon & Murray-Garcia, 1998; DeFehr, Adan, Barros, Rodriguez, & Wai, 2012), and linguistic competence (DeSouza, 2008) in parenting programs that are currently delivered in the Lower Mainland of British Columbia. This study will analyze four well-established parenting programs from government and non-government agencies: Nobody’s Perfect, Parent-Child Mother Goose, Hippy, and Parent Support Circles. During immigration and resettlement, immigrant families face situational and systemic barriers and newcomer parents often struggle with changes in traditional gender roles and conflictive intergenerational dynamics related to resettlement, which is detrimental to their parental role. This research aims add to and deepen the understanding of cultural competency/cultural safety within parenting programs and resources used to support immigrant parents and their families.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score0.897

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.007
GPT teacher head0.177
Teacher spread0.170 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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