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Record W4386763625 · doi:10.32920/24150456

Tensions of Trans-institutionalization in Disabled Childhoods: A Photo Essay

2023· preprint· en· W4386763625 on OpenAlexaff
Kathryn Church, Jessica Vorstermans, Kathryn Underwood

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicChildren's Rights and Participation
Canadian institutionsToronto Metropolitan UniversityYork University
Fundersnot available
KeywordsBannerInstitutionalisationTheme (computing)Variety (cybernetics)Representation (politics)Action (physics)Gender studiesSociologyInclusion (mineral)PsychologyDevelopmental psychologyPolitical sciencePoliticsHistoryLaw

Abstract

fetched live from OpenAlex

This article describes how researchers from a longitudinal study of early childhood service systems generated a visual representation of transinstitutionalization that could facilitate dialogue for change with a variety of audiences. Comprised of seven portable banners, the photo essay that we constructed features snapshots of documents and/or material objects brought forward by mothers, grandmothers, fathers and foster parents in the course of research interviews. Working the theme of tensions in disabled childhoods, we assembled the collection to produce sharp contrasts between the generalizing effects that institutional involvement has on disabled children, and the particular lives that they live out at home with family members. Proceeding banner by banner, the article reveals the “thinking through” that we did to produce the photo essay, and our hopes for informing action on a systemic relation whereby parents are held responsible for producing ‘normal’ children.

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)0.003
metaresearch head score (Gemma)0.006
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: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.020
Scholarly communication0.0040.004
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.082
GPT teacher head0.360
Teacher spread0.278 · 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
GenreOther

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 routes1
Has abstractyes

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