Demographic characteristics and needs of the Canadian urban adolescent mother and her child
Bibliographic record
Abstract
INTRODUCTION: There is a paucity of Canadian-based literature on urban adolescent mothers and their children. To inform clinical assessment and interventions and to mitigate the risks that adolescent mothers and their children face, it is essential to understand the characteristics of this high-risk population. METHODS: A retrospective review of 116 adolescent mothers attending an urban academic hospital-based outpatient clinic in Canada from 2005 to 2009 was conducted. The following information was collected: demographic characteristics, maternal maltreatment history, substance use, postpartum depression symptoms, and child socioemotional and developmental functioning. RESULTS: The mean maternal age was 16.1 years and the mean education level was grade 9. Ninety-nine percent of adolescent mothers were single, 47% had a history of child welfare involvement and 18% had previous involvement with the judicial system. More than one-half of participants reported a history of both maltreatment and substance abuse, and 20% of adolescent mothers scored in the clinical range for postpartum depression. A substantial proportion of children scored in the clinical range for behavioural problems, regulatory difficulties and suspected developmental delays. CONCLUSION: The present study serves to illustrate the high-risk nature of urban adolescent mothers. These observations can be used to improve clinical practice for health care providers in community and hospital-based settings working with this population.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".