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Record W4384695746 · doi:10.22215/etd/2023-15459

“No Matter What I loved Him Through It” A Qualitative Study of Child to Parent Aggression in Adoptive Families

2023· dissertation· en· W4384695746 on OpenAlexaffabout
Elissa Justine Kruz

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsCarleton University
Fundersnot available
KeywordsAggressionThematic analysisReflexivityPsychologyPsychological resilienceDevelopmental psychologyQualitative researchSocial psychologySociologySocial science

Abstract

fetched live from OpenAlex

This thesis explores the resilience of adoptive parents after they have experienced repeated events of Child to Parent Aggression (CPA) with an adoptee.Using social constructionism and the theories of attachment and ecological systems as a basis for my work, I conducted semi-structured interviews with nine participants based in Ontario.I used reflexive thematic analysis to analyze the data from the interviews and generated four themes, How it Starts, Events and Episodes, Impacts, and Resilience to reflect the stories the participants told.They are stories of adoptive parents who remain committed to their relationships with their children, the impacts of CPA, and the struggle to find professionals who can help.The findings of this study point towards a better understanding of the complexity of early childhood events that can lead to CPA, respecting the rights of the children who struggle with CPA, and improved outcomes for adoptive families managing CPA.Using semi-structured interviews, nine participants were interviewed.Using the framework of Reflexive Thematic Analysis (RTA), the interview transcripts were coded, and themes were generated, reviewed, and defined (Braun & Clarke, 2021).Four themes were identified, How it Starts, Events and Episodes, Impacts, and Resilience.Participants in this study clearly indicated that they sought compassion, understanding, and support from those who worked with their families and for others to understand that the aggression their children exhibited towards them was reactive behaviour based on a history of trauma and loss.This thesis outlines important language considerations, my reflexivity through this process, a review of relevant literature, the theoretical framework guiding this study, the methodology used, the study findings, and a discussion of these findings which add richness and depth to an understanding of adoptive parents' experiences of CPA.The findings of this study support emerging research in the field of CPA, and their implications for adoptive families, policy makers, researchers, and professionals working in the field are discussed.Cottrell (2004) identified and discussed the prevalence of violence, aggression and dominating behaviours of adolescents towards to their parents, referring to it as Child to Parent Abuse.Further, Simmons et al., (2018) identified that the word abuse was a consciously selected term as the authors agreed that neither aggression nor violence demonstrated the breadth of the actions being discussed.They chose to use "child-to-parent abuse to capture the full range of physical, emotional and psychological aggression that may be enacted by a child toward their parent."(p.32) With this Definition of CPA Canadian research by

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)0.008
metaresearch head score (Gemma)0.015
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0170.014
Scholarly communication0.0040.004
Open science0.0020.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.045
GPT teacher head0.411
Teacher spread0.366 · 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
Published2023
Admission routes2
Has abstractyes

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