Trying to do more with less? Negotiating intensive mothering and financial strain in Canada
Bibliographic record
Abstract
This article explores the ways in which middle-income mothers negotiate the hegemony of intensive mothering when faced with financial strain. We consider how finances are linked to mothers’ ability to practise their preferred version of ‘good’ mothering, and the strategies used to marshal the financial resources necessary to implement this model. We find that much heterogeneity exists in the ways that mothers respond to the discourse of intensive mothering, and that financial resources are linked to how mothers both construct and practise ‘good’ mothering. For example, in an effort to reconcile tensions between their constructions of ‘good’ mothering and paid labour, they employ strategies such as remaining the primary caregiver for their children while also working at night, taking on contract work and taking in boarders. This research has specific implications for the ways that middle-income families are functioning in the current neoliberal political and economic climate.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".