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Record W2331954160

The Discursive Construction of Gendered Attributions of Blame for Child Sexual Abuse: A Feminist Critical Discourse Analysis of Maternal Failure to Protect in Child Welfare Policy and Practice

2015· dissertation· en· W2331954160 on OpenAlexfundno aff
Corry Azzopardi

Bibliographic record

VenueTSpace (University of Toronto) · 2015
Typedissertation
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsnot available
FundersHospital for Sick ChildrenUniversity of Toronto
KeywordsBlameCritical discourse analysisSociologyChild abuseSocial constructionismDiscourse analysisCriminologyGender studiesPolitical sciencePsychologySocial psychologyPoison controlSocial scienceLawSuicide preventionPoliticsMedicine
DOInot available

Abstract

fetched live from OpenAlex

Nonoffending mothers of children who have been sexually victimized have historically borne the burden of blame in professional and public discourse. Notwithstanding strong empirical evidence to the contrary, attributions of maternal culpability for the inception and maintenance of abuse dynamics have been socially manufactured through hegemonic paradigms of deficient mothering. While insinuations of conscious or unconscious maternal collusion may have dissipated since early psychoanalytic and family systems eras, the legacy of mother-blame lives on in present day child welfare policies and practices through the ideologically- and institutionally-entrenched doctrine of failure to protect. With the intent of unearthing gender-based power asymmetries in contemporary child welfare system responses to child sexual abuse, this doctoral study applied feminist critical discourse analysis to investigate discursive constructions of blame and failure to protect, as enacted, reinforced, and resisted through the powerful language of child welfare policy and practice texts. In this multimodal, problem-oriented, social advocatory approach to critical social science research, descriptive, interpretive, and explanatory analyses of semiotic data were conducted to expose transparent and opaque orders of discourse that legitimize particular relations of power and authority in child welfare operating to the detriment of women and children. Anchored in neoliberal modes of governing, child-centric notions of best interests, and hierarchical structures of power, this study uncovered dominant ideologies of gender and motherhood that function to construct women as the embodiment of sexual abuse risk, target of scrutiny and blame, and primary agent of change. Judged against naturalized schemas of good mothering in isolation of subjective lived experiences, social locations, and material conditions, failure to protect standards have an inherently disproportionate and troubling effect on women, particularly marginalized women who endure intersecting sources of oppression and adversity. Consequent formulations of child sexual abuse as a corollary of maternal inadequacies and defective instincts wrongly, albeit effectually, deflect the gaze away from sexual abuse perpetrators, nonoffending fathers, unresponsive institutions, and profound social injustices. Mothers are fundamental to the collective goal of promoting children’s safety and recovery in the aftermath of sexual abuse. Prevailing child welfare narratives that blame and shame paradoxically impede maternal capacities for support and protection and, thus, compromise children’s best interests. Gendered child welfare discourse has proven itself to be remarkably impervious to change. This study effectively problematized and destabilized its stronghold on child welfare policy and practice by unmasking and denaturalizing the ideological content of textually mediated discourses, building a persuasive case for social and institutional reform grounded in a solid epistemic and evidentiary foundation, and proposing progressive avenues for discursive resistance, negotiation, and transformation.

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)0.014
metaresearch head score (Gemma)0.013
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 score0.016
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0160.075
Scholarly communication0.0160.010
Open science0.0020.007
Research integrity0.0030.005
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 head0.019
GPT teacher head0.350
Teacher spread0.331 · 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
Published2015
Admission routes1
Has abstractyes

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