Over 1000 Aluminium Cans for Forty Dollars: The Provisioning Contributions of Older Children from the Perspectives of Welfare‐Reliant Lone Mothers
Bibliographic record
Abstract
In this article, as a child and family mental health therapist, I connect the feminist concept of ‘provisioning’ and the experiences of ‘young carers’ to critically examine the family care contributions made by older children living in poverty. I present the findings of a qualitative study consisting of two focus groups in which ten ( n = 10) welfare‐reliant lone mothers living in T oronto, C anada described the nature and significance of the contributions made by their older children (11–17 years old) to help their families ‘make ends meet’. Using grounded theory, two main categories emerged: (1) the nature of the provisioning by older children, and (2) the significance of the contributions. The implications of the findings suggest that mental health approaches with older children living in poverty inappropriately misrepresent and pathologise their emotional distress and family contributions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".