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Record W7161947987 · doi:10.82308/11472

Why the Little Mermaid stopped singing: how oppressive social forces silence children's voices, and rob them of the opportunity to develop and exercise autonomy in the health care context

2010· dissertation· en· W7161947987 on OpenAlexaboutno aff
Lori Seller

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicEthics and Legal Issues in Pediatric Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsAutonomySilenceHealth careContext (archaeology)PerceptionBioethicsSocial order

Abstract

fetched live from OpenAlex

The new sociology of childhood replaces the historical notion of children as inherently vulnerable, helpless and in need of protection, with a perception of children as capable of competent, autonomous, social participation. Although this new sociological perception underlies current children's rights literature, Canadian common law, and important Canadian pediatric health care guidelines, children's autonomy in health care contexts remains easily denied or subverted in favour of adult conceptions of their best interests. In order to try to understand why, I use a feminist, relational approach to autonomy to analyze how oppressive social forces might hinder children from developing and exercising their autonomy in health care, and uncover a tendency to silence the voice of the child within bioethical discourse. These results suggest that greater levels of pediatric autonomy could be fostered by overcoming oppressive social forces and by fostering the skills necessary for the development and exercise of autonomy.

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)0.006
metaresearch head score (Gemma)0.010
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 score0.032
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.050
Scholarly communication0.0110.008
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.332
Teacher spread0.302 · 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
Published2010
Admission routes1
Has abstractyes

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