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Record W2233601144 · doi:10.55016/ojs/ajer.v59i1.55665

Stand Together or Fall Apart: Professionals Working with Immigrant Families, by Judith K. Bernhard

2013· article· en· W2233601144 on OpenAlexaffvenueabout
Christine Massing

Bibliographic record

VenueAlberta Journal of Educational Research · 2013
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsImmigrationPsychologySociologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Over the next twenty years, it is projected that the percentage of people born outside of Canada will rise to as much as 28% of the population (Statistics Canada, 2011).In spite of this, Judith Bernhard, professor of Early Childhood Education at Ryerson University and author of Stand Together or Fall Apart: Professionals Working with Immigrant Families, contends that professionals working with immigrant families in fields such as education, health, counseling, early childhood, child and youth care, and social work, while well intentioned, are often illequipped to work effectively with immigrants.Practitioners in these fields commonly operate within a narrowly defined discourse of deficits, effectively subjugating these families.The intention of this text is to inform professionals and undergraduates studying in these fields about immigrant families' strengths and to impart a series of principles that might become tools for helping professionals working with immigrant families.Bernhard also seeks to inspire reflection in readers, exhorting them to "examine their own attitudes and approaches and to become more self aware" (p.16).The book is organized into three sections focusing, respectively, on the realities of immigration, the theoretical and practical tools professionals need to work with immigrants, and interventions that have been successfully used to empower immigrant families.The work is premised on two main assumptions; first, that immigrants possess strengths or funds of knowledge (González, Moll, & Amanti, 2005) which are often rendered invisible or undesirable in the dominant discourse of deficits and, second, that empowerment must be the central goal of any work with immigrant families.Bernhard contextualizes the first assumption by elaborating on the discourse of deficits that proliferates in academic research and filters into practice.This discourse derives from the work of Western developmental psychologists and assumes children progress through universal stages and milestones regardless of the social, cultural and economic circumstances of their lives.Immigrant children are deemed to be disadvantaged learners who lag behind their peers because these stages fail to account for contextually-influenced variations.By extension, their parents are seen to be lacking the "right" knowledge and skills to instruct their children (see NAEYC, 2010).In the field of early childhood, Bernhard is one of a growing number of Reconceptualist scholars to problematize this view:The problems and perceived problems of immigrant children and families are an enduring acceptance of mistaken assumptions regarding what is 'normal' in child development...cultural differences penetrate to the core and...should be honoured rather than remedied or ignored (pp.60-61).

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)0.005
metaresearch head score (Gemma)0.012
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: none
Teacher disagreement score0.167
Threshold uncertainty score0.332

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0140.004
Scholarly communication0.0050.005
Open science0.0020.004
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0050.002

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 head0.089
GPT teacher head0.425
Teacher spread0.336 · 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

Citations0
Published2013
Admission routes3
Has abstractyes

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