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Record W1499136954 · doi:10.25071/1916-4467.17004

Learning to “Do Family” Differently: Towards More ComplexNotions of Family, Culture, and Schooling

2006· article· en· W1499136954 on OpenAlexafffundvenueabout
Linda Laidlaw

Bibliographic record

VenueJournal of the Canadian Association for Curriculum Studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSociologyEpistemologyPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Over the past eight years I have been thinking a lot about complexity science and education.Issues of complexity and curriculum have been the focus of much of my previous academic work (Laidlaw, 2001; Laidlaw, 2005).But, it has been within the past two years that I have experienced more life-altering learning experiences in relation to complexity.I became a parent.While more typically, perspectives informed by complexity would suggest the exploration of notions of parenting or families from biological, ecological, or evolutionary perspectives, and while some of the ideas I will address do come from such origins, my route to parenting came via social construction-a relationship formed via miles of paperwork and the approvals of a rather large cast of individuals, agencies, and governments-when I adopted a sixteen-month-old baby girl from China.This article will explore some ways of thinking about families differently, influenced by a weave of both personal experience and adoption research, and informed by complexity thinking (Davis & Sumara, 2006), as well as work that can be aligned with complexity research.In many ways, an adoption that crosses boundaries of countries, cultures, ethnicities, race, and those of reproductive norms creates a perturbation from the expected ways of doing things.Specifically, from expected ways of "doing family."Rothman (2005) writes, "Take a kid from a Chinese orphanage and put it in a middle-class "Euro-descent" American home, and a lot of what parenthood is about in America is put into sharp relief" (p. 7).Rothman, an American sociologist who is also mother of a domestically adopted black daughter likens "doing family" in a transracial adoption to "the way that a transsexual does gender."She states, "We're just doing what "normal" people do, but we know we're doing it" (p.4).Rothman describes some of the little tricks she uses, such as standing behind her daughter, with a hand on her shoulder, when they meet the new violin teacher: "Hello, I'm Barbara and this is my daughter Victoria," I say before the teacher can open her mouth.And put her foot in it."(p.4) Rothman's descriptions strike a familiar chord, reminding me of stories from my autoethnographic experiences and those of other adoptive parents I have surveyed.A Social Sciences and Humanities Research Council (SSHRC) project that I have been undertaking asks Canadian parents to recount their experiences in relation to their family composition, and to share their stories and understandings of their child's experiences of schooling.Within the project, I have also engaged in contextual analyses, examining documents such as curriculum texts, government publications, and classroom instructional materials, as well as looking at perspectives on adoption within popular culture and the media.Throughout the project, I have attempted to examine family diversity in both micro-and macro-directions, from my particular personal experiences to collective experiences of other adoptive families, as well as looking at the ideological realm of discourse and cultural knowledge around family diversity and adoption.As Davis and Sumara (2006) suggest, gaining an understanding of social systems such as families or schools requires "considering all-at-once, the many layers of dynamic nested activity that are constantly at play" (p.28), and the knowledge that such "organizational/organismic layers" may not be neatly separate.The stories shared by parents describe what it is like to "do family" differently, to disrupt normative social categories, and they tell us something about how notions of family, culture, ethnicity, and race are defined in North American societies, as well as how counternormative families are influenced by this conceptual and

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)0.009
metaresearch head score (Gemma)0.009
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 score0.150
Threshold uncertainty score0.297

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.038
Scholarly communication0.0130.019
Open science0.0020.008
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0100.000

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 head0.030
GPT teacher head0.339
Teacher spread0.308 · 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

Citations9
Published2006
Admission routes4
Has abstractyes

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