Globalization and the health of Canadians: ‘Having a job is the most important thing’
Bibliographic record
Abstract
BACKGROUND: Globalization describes processes of greater integration of the world economy through increased flows of goods, services, capital and people. Globalization has undergone significant transformation since the 1970s, entrenching neoliberal economics as the dominant model of global market integration. Although this transformation has generated some health gains, since the 1990s it has also increased health disparities. METHODS: As part of a larger project examining how contemporary globalization was affecting the health of Canadians, we undertook semi-structured interviews with 147 families living in low-income neighbourhoods in Canada's three largest cities (Montreal, Toronto and Vancouver). Many of the families were recent immigrants, which was another focus of the study. Drawing on research syntheses undertaken by the Globalization Knowledge Network of the World Health Organization's Commission on Social Determinants of Health, we examined respondents' experiences of three globalization-related pathways known to influence health: labour markets (and the rise of precarious employment), housing markets (speculative investments and affordability) and social protection measures (changes in scope and redistributive aspects of social spending and taxation). Interviews took place between April 2009 and November 2011. RESULTS: Families experienced an erosion of labour markets (employment) attributed to outsourcing, discrimination in employment experienced by new immigrants, increased precarious employment, and high levels of stress and poor mental health; costly and poor quality housing, especially for new immigrants; and, despite evidence of declining social protection spending, appreciation for state-provided benefits, notably for new immigrants arriving as refugees. Job insecurity was the greatest worry for respondents and their families. Questions concerning the impact of these experiences on health and living standards produced mixed results, with a majority expressing greater difficulty 'making ends meet,' some experiencing deterioration in health and yet many also reporting improved living standards. We speculate on reasons for these counter-intuitive results. CONCLUSIONS: Current trends in the three globalization-related pathways in Canada are likely to worsen the health of families similar to those who participated in our study.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.017 | 0.008 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".