Suchergebnisse

How to cite: Bunker, H. F. (1960). Política y educación. Pedagogía, 8(2), 77-91. ; Cómo citar: Bunker, H. F. (1960). Política y educación. Pedagogía, 8(2), 77-91.

In 1948, the Canadian Federal Government launched a programme of annual grants to the provinces to expand and improve their health services. However, if there was to be a sound basis for planning and expenditure, much more had to be known about the incidence and prevalence of illness and injury; about the amount of medical, nursing, and similar care needed; and about the volume of family expenditure on health. Accordingly, an agreement was reached in 1950 to conduct a nation-wide survey to determine these matters. The Dominion Bureau of Statistics and the federal Department of National Health would be responsible for planning the survey, designing and setting up the sample, co-ordinating provincial activities, and analysing and publishing the results. The provinces would select, train, and pay enumerators; collect the data; verify diagnoses; and edit completed returns.

The 14 wards with the heaviest black concentrations (>85%) contain 1/3 of the city's unregistered voters. Older people are more organisationally involved, less transient and vote more consistently. Targeting them will pay off for voter mobilisation in the short run. But for the long term, it may be better to target the young. (SJK)

Climate-related hazards can lead to agricultural losses and affect local and wider food supply via food trade. This study estimates the potential for adverse effects of climate hazards on food supply across Indian States and Union Territories (hereafter 'states') by quantifying climate hazard risks. Risks were estimated using the most recent data available on hazard presence, vulnerability, and volume of per capita food supply that is exposed to hazards. Historical (2000–2020) climatological and geological data sourced from meteorological stations and satellite imagery were used to estimate the state-level presence of eight climate-related hazards (droughts, forest fires, floods, extreme rainfall, landslides, cyclones, extreme temperatures, sea level rise). For each state and hazard type, we distinguished between risk to food supply produced in the state and the risk to food supply imported from other states. The source of food supply was estimated from a supply and demand balance model for 30 major food items that uses government data from 2011–12. We found that climate hazard risks to food supply vary across states and by hazard type. The largest climate hazard risks to state food supply are in Bihar, Madhya Pradesh, and Assam, where the majority of risk is to locally produced supply. Food supply in each state is at risk to all eight climate hazards via food imports from other Indian states. For 14 states, the climate hazard risk is greater for imported food supply than for locally produced supply. Just five states contribute to more than half of the climate hazard risk in interstate food trade. The findings indicate that climate-related hazards in Indian states could have potentially adverse effects on national food supply, affecting both local production and interstate trade. For policy-makers, these climate hazard risks identify potential priorities for enhancing food system resilience to mitigate impacts on local and national food security.

Parental history of offending and/or mental illness are risk factors for child maltreatment. However, limited research has directly contrasted the role of maternal versus paternal criminal offending or mental health problems in contributing to earlier contact with the child protection system. In this study we examined the relative contributions of these risk factors in relation to the time to the offspring's first report to child protection services, or first placement in out of home care (OOHC), using administrative records for a population sample of 71,661 children. Prior paternal offending had a greater independent effect on time to the offspring's first contact with child protection services (HR = 2.27 [95% CI = 2.14-2.40]) than maternal offending (HR = 1.75 [95% CI = 1.63 -1.87]) or maternal mental disorder diagnosis (HR = 1.66 [95% CI = 1.57 -1.77]). By contrast, prior maternal offending (HR = 2.58 [95% CI = 2.26-2.95]) and mental disorder diagnosis (HR = 2.33 [95% CI = 2.05-2.63]) had a greater effect on earlier placement in OOHC, relative to prior paternal offending (HR = 1.59 [95% CI = 1.35 -1.88]) and mental disorder diagnosis (HR = 1.06 [95% CI = 0.94 -1.19]). These findings demonstrate the potential benefits of coordinated government responses across multiple agencies to identify vulnerable children and families who might benefit from early interventions or support services.

Adult psychosocial difficulties, including psychiatric disorders, are often preceded by childhood psychosocial vulnerabilities, presenting critical windows of opportunity for preventative intervention. The present study aimed to identify longitudinal patterns (representing transitions between profiles) of childhood socio-emotional and cognitive vulnerability in the general population from early to middle childhood, in relation to key risk factors (e.g. parental mental illness and offending). Data were drawn from the New South Wales Child Development Study, which combines intergenerational multi-agency administrative records with cross-sectional assessments using data linkage methods. We analysed data from childhood assessments of socio-emotional and cognitive functioning at two time points (ages 5–6 and 10–11 years) that were linked with administrative data from government departments of health, child protection, and education for 19,087 children and their parents. Latent profile analyses were used to identify socio-emotional and cognitive profiles at each time point, and latent transition analyses were used to determine the probability and potential moderators of transition between profiles at each age. Three developmental profiles were identified in early childhood, reflecting typically developing, emotionally vulnerable, and cognitively vulnerable children, respectively; two profiles were identified in middle childhood, reflecting typically developing and vulnerable children. Child's sex, child protection services contact, parental mental illness, and parental offending influenced children's transitions between different vulnerability profiles, with the strongest effects for parental mental illness and child protection contact. Early detection of vulnerable children and factors promoting resilience are important steps in directing future health and social policy, and service planning for vulnerable children.

Objective: We examined associations between developmental vulnerability profiles determined at the age of 5 years and subsequent childhood mental illness between ages 6 and 13 years in an Australian population cohort. Methods: Intergenerational records from New South Wales (NSW) Government Departments of Health and Child Protection spanning pre-birth to 13 years of age were linked with the 2009 Australian Early Development Census records for 86,668 children. Mental illness indices for children were extracted from health records between 2009 and 2016 (child's age of 6–13 years). Associations between mental disorder diagnoses and membership of early childhood risk groups, including those with established 'special needs' (3777, 4.3%) at school entry, or putative risk classes delineated via latent class analysis of Australian Early Development Census subdomains – referred to as 'pervasive risk' (N = 3479; 4.0%), 'misconduct risk' (N = 5773; 6.7%) or 'mild generalised risk' (N = 9542; 11%) – were estimated using multinomial logistic regression, relative to children showing 'no risk' (N = 64,097; 74%). Poisson regression models estimated the relative risk of a greater number of days recorded with mental health service contacts among children in each Australian Early Development Census risk group. Adjusted models included child's sex, socioeconomic disadvantage, child protection contacts and parental mental illness as covariates. Results: The crude odds of any mental disorder among children aged 6–13 years was increased approximately threefold in children showing pervasive risk or misconduct risk profiles at the age of 5 years, and approximately sevenfold in children with special needs, relative to children showing no risk; patterns of association largely remained after adjusting for covariates. Children with special needs and the misconduct risk class used mental health services over a greater number of days than the no risk class. Conclusion: Patterns of early childhood developmental vulnerability are associated with subsequent onset of mental disorders and have the potential to inform interventions to mitigate the risk for mental disorders in later childhood and adolescence.

Automated control and management of large-scale physical systems is a challenging problem in a wide variety of applications including: power grids, transportation networks, and telecommunication networks. Such systems require (i) data collection, (ii) secure data transfer to processing centers, (iii) data processing, and (iv) timely decision making and control actions. These tasks are complicated by the vast amount of data, the distributed sources of data, and the need for efficient data communication. In addition, large physical systems are often subdivided into separately owned subsystems. This multi-owner structure imposes physical, economic, market, and political constraints on the data transfer. These divisions make systems vulnerable to potential coordinated attacks. Defending against such attacks requires the infrastructures to be more automated and self-healing. Motivated by the challenge of a more efficient, secure and robust power grid, which is less vulnerable to blackouts due to cascaded events, this paper discusses some of the fundamental problems in designing future cyber-physical systems.

This is the final version. Available on open access from Elsevier via the DOI in this record ; Moving towards sustainable food systems is a complex problem, which requires high level co-ordination, coherence, and integration of national food policy. The aim of this study is to explore where environmental sustainability is integrated into national food policy in India. A scoping review of food policies was conducted, and findings mapped to ministerial responsibility, estimated budget allocation, and relevant Sustainable Development Goals. Fifty-two policies were identified, under the responsibility of 10 ministries, and with relevance to six Sustainable Development Goals. Content analysis identified references to environmental sustainability were concentrated in policies with the smallest budgetary allocation. Resources together with political will are required to integrate environmental sustainability into food policies and avoid conflicts with more well-established health, societal, and economic priorities. ; Wellcome Trust