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The Ecocultural Project of Family Life

2017· book-chapter· en· W2615126396 on OpenAlexaboutno aff
David McConnell, Amber Savage

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsnot available
Fundersnot available
KeywordsNormativeResource (disambiguation)Everyday lifePsychologyPublic relationsSample (material)Family lifeService (business)Social psychologyPolitical scienceSociologyBusinessGender studiesMarketingLawComputer science

Abstract

fetched live from OpenAlex

Abstract In this chapter, we report findings from a three-year, survey- and interview-based study involving 538 families bringing up children with disabilities in Alberta, Canada. The focus of the study was on the everyday challenge and accomplishment of sustaining a routine of daily life. The families who participated in this study were diverse, yet they struggled with many of the same questions and challenges. Four over-arching and inter-related challenges emerged from our analysis of the interview data. These are difficulty balancing the competing needs and wants of their children; tension between wanting to protect and wanting to integrate their child and family into the community; conflict between earning and care giving activities; and, trouble accessing and navigating supports and services. This chapter includes a small sample of illustrative family stories. The study findings suggest that parents are striving but struggle to meet normative expectations, that is, to simultaneously do all they can to help their disabled child and create a routine that balances the needs and interests of all their children. One conclusion is that service systems and professionals can help and or hinder families as they strive to create and maintain a daily routine that is fitted to the local ecology and family resource-base, and congruent with their values and goals, and with the needs, interests, and competencies of family members.

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)0.001
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 score0.198
Threshold uncertainty score0.394

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.008
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.172
GPT teacher head0.415
Teacher spread0.243 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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