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Record W3192995840 · doi:10.1108/ijssp-06-2021-0151

Constructing the “good” mother: pride and shame in lone mothers' narratives of motherhood

2021· article· en· W3192995840 on OpenAlex
Madeleine Leonard, Grace Kelly

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Sociology and Social Policy · 2021
Typearticle
Languageen
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsQueen's University
Fundersnot available
KeywordsPrideShameFeelingNarrativeValue (mathematics)SociologySocial psychologyGender studiesPsychologyLawPolitical science

Abstract

fetched live from OpenAlex

Purpose This paper aims to explore how lone mothers define “good” mothering and outlines the extent to which feelings of pride and shame permeate their narratives. Design/methodology/approach The empirical data on which the paper is based is drawn from semi-structured interviews with 32 lone mothers from Northern Ireland. All the lone mothers resided in low-income households. Findings Lone mothers experienced shame on three levels: at the level of the individual whereby they internalised feelings of shame; at the level of the collective whereby they internalised how they perceived being shamed by others in their networks but also engaged in shaming and at the level of wider society whereby they recounted how they felt shamed by government agencies and the media. Originality/value While a number of researchers have explored how shame stems from poverty and from “deviant” identities such as lone motherhood, the focus on pride is less developed. The paper responds to this vacuum by exploring how pride may counterbalance shame's destructive and scarring tendencies.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score0.234

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.378
Teacher spread0.349 · 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