Constructing the “good” mother: pride and shame in lone mothers' narratives of motherhood
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.024 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".