Medicalisation and changes in advice to mothers about children's mental health issues 1970 to 1990 as compared to 1991 to 2010: evidence from Chatelaine magazine
Bibliographic record
Abstract
In this article, I examine the ways in which the portrayal of children's mental health issues has changed in a high-circulating mass print magazine, Chatelaine, in Canada over the last four decades of the twentieth century through the advice given to mothers regarding their children's behaviour and emotions. I selected these four decades as they reflect the rapid growth in medicalisation, risk society, neoliberalism and intensive mothering and corresponding medical treatment for diagnosed children's mental health issues. I divided the 40 years into two 20-year periods so that I could compare and contrast the ways in which child mental health issues were represented. There were continuities between the two periods, particularly in regard to the focus on emotion work and management; there were also important differences. During this period, the changing content of the magazine indicated an increasing pathologisation of individual children through increased coverage of the risks of psychiatric diagnoses and the possibility of pharmaceutical and other biomedical interventions.
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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 | 0.002 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".