MétaCan
Menu
Back to cohort
Record W4309899846 · doi:10.1080/09687599.2022.2137392

This changes everything: a critical reflection on the impact of internalized ableist constructs on becoming a disabled mother

2022· article· en· W4309899846 on OpenAlexaff
Marjorie Aunos, Margaret Spencer, Laura Pacheco, Evelina Pituch

Bibliographic record

VenueDisability & Society · 2022
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversité de MontréalMemorial University of NewfoundlandUniversité du Québec à Trois-RivièresCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalCentre for Interdisciplinary Research in RehabilitationBrock University
Fundersnot available
KeywordsNegotiationEthnographySociologyIdentity (music)Gender studiesDisability studiesResistance (ecology)Disabled peoplePerspective (graphical)AbleismCritical reflectionPsychologyAestheticsPedagogySocial science

Abstract

fetched live from OpenAlex

The lived experiences of women with disabilities within their mothering role have received little attention in the literature. Even more scant is the perspective of women who become disabled after entering into motherhood. This ethnographic study documents the experiences of a mother, professional, and international researcher who is catapulted into the disableist world and is propelled to suddenly negotiate her newly appointed identities. This critical reflection leads to exposing the internalized ableist discourses and provides the terrain for a resistance identity based on character strengths, resiliency, and purpose. It centers around developing an identity based on mothering within an inter-dependency model. This study contributes to the fields of disability studies, mothering, and positive psychology.

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)0.022
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 score0.020
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0200.047
Scholarly communication0.0120.011
Open science0.0020.012
Research integrity0.0040.013
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 head0.114
GPT teacher head0.438
Teacher spread0.324 · 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

Citations14
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueDisability & SocietySame topicFamily and Disability Support ResearchFrench-language works237,207