Return to Hanging Rock: Lost Children in a Gothic Landscape

Using the philosophical position of phenomenology this article examines the ways in which ideas of wildness combine with Australian Gothic tropes such as the white colonial lost child and the bush as a haunted locale to compose key features of an Australian Ecogothic. Joan Lindsay’s enigmatic novel Picnic at Hanging Rock (1967) has prompted scholars such as Lesley Kathryn Hawkes to describe how in Australian literature for both adults and children ‘the environment is far more than a setting or backdrop against which the plot takes place’ (Hawkes, 2011,67). On St Valentine’s Day in 1900 three young Australian girls and their teacher disappear from a school picnic at the ancient site of Mount Macedon in Victoria. The analysis, which focuses on Lindsay’s posthumously published chapter eighteen (1987) examines how elements of the material, sensing world combine with the mythological or sacred to connect the human protagonists with the gothic landscape they inhabit. The resulting intersubjectivity problematizes colonial ideology and unsettles notions of national identity. Using the philosophical position of phenomenology this article examines the ways in which ideas of wildness combine with Australian Gothic tropes such as the white colonial lost child and the bush as a haunted locale to compose key features of an Australian Ecogothic. Joan Lindsay’s enigmatic novel Picnic at Hanging Rock (1967) has prompted scholars such as Lesley Kathryn Hawkes to describe how in Australian literature for both adults and children ‘the environment is far more than a setting or backdrop against which the plot takes place’ (Hawkes, 2011,67). On St Valentine’s Day in 1900 three young Australian girls and their teacher disappear from a school picnic at the ancient site of Mount Macedon in Victoria. The analysis, which focuses on Lindsay’s posthumously published chapter eighteen (1987) examines how elements of the material, sensing world combine with the mythological or sacred to connect the human protagonists with the gothic landscape they inhabit. The resulting intersubjectivity problematizes colonial ideology and unsettles notions of national identity.

Statistical forecasting of the Australian macadamia crop

Three types of forecasts of the total Australian production of macadamia nuts (t nut-in-shell) have been produced early each year since 2001. The first is a long-term forecast, based on the expected production from the tree census data held by the Australian Macadamia Society, suitably scaled up for missing data and assumed new plantings each year. These long-term forecasts range out to 10 years in the future, and form a basis for industry and market planning. Secondly, a statistical adjustment (termed the climate-adjusted forecast) is made annually for the coming crop. As the name suggests, climatic influences are the dominant factors in this adjustment process, however, other terms such as bienniality of bearing, prices and orchard aging are also incorporated. Thirdly, industry personnel are surveyed early each year, with their estimates integrated into a growers and pest-scouts forecast. Initially conducted on a 'whole-country' basis, these models are now constructed separately for the six main production regions of Australia, with these being combined for national totals. Ensembles or suites of step-forward regression models using biologically-relevant variables have been the major statistical method adopted, however, developing methodologies such as nearest-neighbour techniques, general additive models and random forests are continually being evaluated in parallel. The overall error rates average 14% for the climate forecasts, and 12% for the growers' forecasts. These compare with 7.8% for USDA almond forecasts (based on extensive early-crop sampling) and 6.8% for coconut forecasts in Sri Lanka. However, our somewhatdisappointing results were mainly due to a series of poor crops attributed to human reasons, which have now been factored into the models. Notably, the 2012 and 2013 forecasts averaged 7.8 and 4.9% errors, respectively. Future models should also show continuing improvement, as more data-years become available.

School canteens : a systematic review of the policy, perceptions and use from an Australian perspective

LMS tables for waist circumference and waist-to-height ratio among Colombian children and adolescents: The FUPRECOL study

Background: Indices predictive of central obesity include waist circumference (WC) and waist-to-height ratio (WHtR). The aims of this study were 1) to establish a Colombian youth smoothed centile charts and LMS tables for WC and WHtR and 2) to evaluate the utility of these parameters as predictors of overweight and obesity. Method: A cross-sectional study whose sample population comprised 7954 healthy Colombian schoolchildren [boys n=3460 and girls n=4494, mean (standard deviation) age 12.8 (2.3) years old]. Weight, height, body mass index (BMI), WC and WHtR and its percentiles were calculated. Appropriate cut-offs point of WC and WHtR for overweight and obesity, as defined by the International Obesity Task Force (IOTF) definitions, were selected using receiver operating characteristic (ROC) analysis. The discriminating power of WC and WHtR was expressed as area under the curve (AUC). Results: Reference values for WC and WHtR are presented. Mean WC increased and WHtR decreased with age for both genders. We found a moderate positive correlation between WC and BMI (r= 0.756, P < 0.01) and WHtR and BMI (r= 0.604, P < 0.01). The ROC analysis showed a high discrimination power in the identification of overweight and obesity for both measures in our sample population. Overall, WHtR was slightly a better predictor for overweight/obesity (AUC 95% CI 0.868-0.916) than the WC (AUC 95% CI 0.862-0.904). Conclusion: This paper presents the first sex- and age-specific WC and WHtR percentiles for both measures among Colombian children and adolescents aged 9–17.9 years. By providing LMS tables for Latin-American people based on Colombian reference data, we hope to provide quantitative tools for the study of obesity and its comorbidities.