Research UNE (RUNE) is the institutional repository for research outputs of the University of New England, Australia. More information.
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Journal ArticlePublication From classrooms to eco-communities: an ecological approach to school connectedness, intergenerational advocacy and student agency(Routledge)This article examines how an ecological approach to education can enable student-led practices that strengthen school connectedness. This qualitative case study illustrates how school connectedness and student agency can be realised when educational practice is ecologically embedded within community systems. School connectedness is rooted in shared responsibility, empathy, and real-world engagement. Data from five semi-structured interviews were analysed, revealing how students in one Canadian school took the initiative to prevent the closure of a local aged care home. By orchestrating fundraising events, forging relationships with community businesses, and offering direct support to vulnerable residents, students demonstrated the transformative impact of their engagement on community well-being. These findings highlight how school connectedness flourishes when anchored in an ecological framework that transcends traditional school boundaries. The case develops ‘eco-community connectedness’ as a conceptual proposition for understanding connectedness as a dynamic, participatory and multi-level practice. The article concludes with a practical tool, an ‘Eco-Community Connectedness Framework’ that supports educators to consider how teaching practices, relationships and institutional conditions can enable student agency and connectedness across school-community ecologies.
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Publication Open AccessJournal ArticleIntegrating soil monitoring and machine learning to map historical tillage and stubble management across Australian cropping systems (2001–2023)(Elsevier BV, 2026-03-01)Tillage and stubble management are key drivers of soil health, crop productivity, and greenhouse gas (GHG) emissions, yet long-term spatially explicit data on these practices remain scarce. Using data from two Australian national soil monitoring programs Soil Carbon Research Project (SCaRP) and Soil Organic Carbon Monitoring (SOC-M) we analyzed over two decades (2001–2023) of tillage and stubble management records collated across 300 Australian farmer paddock scale datasets. We developed machine learning models based on random forest to predict spatial and temporal trends in these practices, incorporating crop type, soil classification, climate variables, and spatial coordinates as predictors. Our models were benchmarked against multinomial logistic regression and a nearest-neighbour baseline, demonstrating that random forest consistently achieved higher accuracy, particularly for dominant practices such as no-tillage and stubble grazing. Variable importance analyses identified “Year” as the most influential predictors, capturing widespread no-tillage adoption post-2010, while latitude and crop type further explained regional variations. Partial dependence plots revealed sharp inflection points in adoption trajectories around 2010, coinciding with major policy and technological shifts. We applied the models to generate gridded predictions (0.5° resolution) across the Australian cropping zone, providing insights into the evolving distribution of tillage and stubble practices. These spatial products not only improve GHG accounting frameworks and Earth system models but also offer actionable intelligence for soil health policy and targeted extension programs. Our approach demonstrates how combining ground-based monitoring with machine learning can fill critical data gaps and provide a scalable framework for agricultural management assessment and climate mitigation strategies.
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Book ChapterPublication Dead Threads: Sartorial Semiotics, Decay, and Identity in Mediated Gothic Horror(Routledge, 2027)This chapter theorises the semiotic, ideological, and discursive roles played by costuming in Gothic and horror narratives across transmedia platforms. Drawing upon critical frameworks including theories of monstrosity, abjection, and cultural semiotics, it examines how costume operates not just as a visual signifier but as an ideological tool for constructing and problematising notions of identity, otherness, and cultural anxiety. The analysis is structured around four thematic discussions: the aesthetics and semiotics of Gothic and horror costuming, which outlines how costumes encode and externalise psychological and societal fears through visual symbolism; monstrosity and gender, analysing the ideological implications of costuming as a means of demarcating deviance, gender fluidity, and the instability of cultural norms; the undead and aesthetics of decay, exploring how costuming represents social critique through depictions of decay, disruption, and everyday horror; and finally, the transmedia circulation of monstrous costuming, investigating how costumes function beyond narrative contexts as dynamic, evolving cultural artefacts through practices such as cosplay, fan appropriations, “monstrous” dolls including Barbie, and high-fashion reinterpretations. This chapter positions Gothic and horror costuming as fluid signifiers that continually adapt to shifting socio-cultural discourses, reflecting broader processes of identity formation, and collective anxieties within popular and media culture.
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Publication Open AccessDatasetDirectory of Historical Occupations Classifications and Codes for Convict Australia(University of New England, 2026-10-01)The Directory of Historical Occupational Classifications and Codes for Convict Workers is a standardised occupational classification and coding system for identifying and analysing convict skill, occupation and labour in nineteenth-century New South Wales and Van Diemen’s Land (Tasmania). It adapts the Historical International Standard Classification of Occupations (HISCO) to the occupational titles and descriptions recorded for convict men and women in convict indentures and appropriation lists. The Directory provides a consistent framework for coding historical occupations while retaining original occupational terminology and enabling comparison across datasets, regions and periods. The dataset also maps HISCO occupations to HISCLASS 12 and HISCLASS 5, enabling analysis at different levels of social and occupational aggregation. Its HISCO-based structure allows researchers to develop alternative classifications for particular research questions, including industrial and convict-specific schemes, with two examples included in this current dataset. Published as an open-access dataset, the Directory provides research infrastructure for historical and cultural heritage research, supporting consistent occupational coding, data linkage, comparative analysis and reuse across projects.7 3 - Some of the metrics are blocked by yourconsent settings
DatasetPublication Calanthe data(University of New England, 2026-09-30)These data sets accompany the forthcoming publication by the authors3
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Conference PublicationPublication Orgasmic Gushing: where does the fluid come from and how is it produced?(Women in Research (WiR), 2005)There are three sexual fluids from women: lubrication (e.g. transudation of fluid across the mucosa of the vagina, and mucus from the greater vestibular glands); female ejaculation (from paraurethral glands); and gushing. Orthodox western medicine and physiology does not yet have a standardized description or explanation for the third, gushing. The present paper proposes that the gushing fluid is a filtrate of plasma, produced by the mechanism known as transudation. This is an additional application for the transudation mechanism, after the well accepted roles in lubrication of the vagina, and in generating serous fluids. The present model proposes that the fluid released in a gush arises from the ventral wall of the vagina due to the presence there of increased surface area of mucosa, dilated arterioles, pressurized venous and lymphatic plexuses, and compression provided by muscle contraction during orgasm.65476 - Some of the metrics are blocked by yourconsent settings
DatasetPublication Mapping Long Term Changes in Mangrove Cover and Predictions of Future Change under Different Climate Change Scenarios in the Sundarbans, Bangladesh(2018-05-22)Ground-based readings of temperature and rainfall, satellite imagery, aerial photographs, ground verification data and Digital Elevation Model (DEM) were used in this study. Ground-based meteorological information was obtained from Bangladesh Meteorological Department (BMD) for the period 1977 to 2015 and was used to determine the trends of rainfall and temperature in this thesis. Satellite images obtained from the US Geological Survey (USGS) Center for Earth Resources Observation and Science (EROS) website (www.glovis.usgs.gov) in four time periods were analysed to assess the dynamics of mangrove population at species level. Remote sensing techniques, as a solution to lack of spatial data at a relevant scale and difficulty in accessing the mangroves for field survey and also as an alternative to the traditional methods were used in monitoring of the changes in mangrove species composition, . To identify mangrove forests, a number of satellite sensors have been used, including Landsat TM/ETM/OLI, SPOT, CBERS, SIR, ASTER, and IKONOS and Quick Bird. The use of conventional medium-resolution remote sensor data (e.g., Landsat TM, ASTER, SPOT) in the identification of different mangrove species remains a challenging task. In many developing countries, the high cost of acquiring high- resolution satellite imagery excludes its routine use. The free availability of archived images enables the development of useful techniques in its use and therefor Landsat imagery were used in this study for mangrove species classification. Satellite imagery used in this study includes: Landsat Multispectral Scanner (MSS) of 57 m resolution acquired on 1st February 1977, Landsat Thematic Mapper (TM) of 28.5 m resolution acquired on 5th February 1989, Landsat Enhanced Thematic Mapper (ETM+) of 28.5 m resolution acquired on 28th February 2000 and Landsat Operational Land Imager (OLI) of 30 m resolution acquired on 4th February 2015. To study tidal channel dynamics of the study area, aerial photographs from 1974 and 2011, and a satellite image from 2017 were used. Satellite images from 1974 with good spatial resolution of the area were not available, and therefore aerial photographs of comparatively high and fine resolution were considered adequate to obtain information on tidal channel dynamics. Although high-resolution satellite imagery was available for 2011, aerial photographs were used for this study due to their effectiveness in terms of cost and also ease of comparison with the 1974 photographs. The aerial photographs were sourced from the Survey of Bangladesh (SOB). The Sentinel-2 satellite image from 2017 was downloaded from the European Space Agency (ESA) website (https://scihub.copernicus.eu/). In this research, elevation data acts as the main parameter in the determination of the sea level rise (SLR) impacts on the spatial distribution of the future mangrove species of the Bangladesh Sundarbans. High resolution elevation data is essential for this kind of research where every centimeter counts due to the low-lying characteristics of the study area. The high resolution (less than 1m vertical error) DEM data used in this study was obtained from Water Resources Planning Organization (WRPO), Bangladesh. The elevation information used to construct the DEM was originally collected by a Finnish consulting firm known as FINNMAP in 1991 for the Bangladesh government.48268 50 - Some of the metrics are blocked by yourconsent settings
Conference PublicationPublication Reinforced Behavioral Variability and Sequence Learning Across Species(Association for Behavior Analysis International (ABAI), 2012)Previous research shows that reinforcement of variable responding will facilitate sequence learning in rats (Neuringer, Deiss & Olson, 2000) but may interfere with sequence learning in humans (Maes & van der Goot, 2006). The present study aimed to replicate and extend previous research by assessing the role of behavioral variability in the learning of difficult target sequences across 3 species: humans (n = 60), hens (n = 18) and possums (n = 6). Participants were randomly allocated to one of three experimental conditions (Control, Variable, Any). In the Control conditions sequences were only reinforced if they were the target sequence, in the Variability conditions sequences were concurrently reinforced on a Variable Interval 60-s schedule if the just entered sequence met a variability criterion, and in the Any condition sequences were concurrently reinforced on a Variable Interval 60-s schedule for any sequence entered. The results support previous findings with animals and humans; hens and possums were more likely to learn the target sequence in the Variability condition, and human participants were more likely to learn the target sequence in the Control condition. Possible explanations for differences between the performance of humans and animals on this task will be discussed.39946 1 - Some of the metrics are blocked by yourconsent settings
Publication Open AccessDatasetThe drivers and consequences of change to the physical character of waterholes on an Australian dryland river(University of New England, 2021-08-27)This dataset provides all the raw and analysed data for the thesis titled 'The drivers and consequences of change to the physical character of waterholes on an Australian dryland river'.
The data has been divided into four folders that are aligned with the data chapters for the thesis. These being: (Ch 2) waterhole mapping, (Ch 3) floodplain gullies, (Ch 4) sediment transport and (Ch 5) fish.
A README file is provided for each chapter which contains a description of the individual datasets and a list of files that make up each dataset.
The data in this archive is a combination of data obtained from desktop studies as well as field work on the Darling River (i.e., the fish data).
Further, fish data were collected on the Darling River between Bourke and Wilcannia. Waterhole mapping was undertaken on the Barwon-Darling between Walgett and Wilcannia. Gully mapping was undertaken on the Barwon-Darling River between Mungindi and Wilcannia. Sediment transport capacity was assessed at five sites between Collarenebri and Tilpa.37885 3938 - Some of the metrics are blocked by yourconsent settings
Publication Open AccessJournal ArticleA Review into Effective Classroom Management and Strategies for Student Engagement: Teacher and Student Roles in Today’s Classrooms(Redfame Publishing Inc, 2019-12)A teacher's role encompasses far more than just imparting curricula outcomes to their students: they need to equip students with the necessary tools to experience social and academic success both inside the classroom and beyond it. Teachers need to empower students with the means to critically analyse the world around them in order to develop into critical independent thinkers. Students need to be proficient in utilising skills associated with higher levels of thinking, that will empower them with the ability to identify, analyse and evaluate the infinite volume of information available through our rapidly changing digital world. Just as teachers need to take responsibility for the various methods of teaching and instruction in the classroom, it is essential for students to take ownership of the learning process, to ensure future success in university environments, where sustained personal effort and metacognitive skills are fundamental to academic success. The object of the review of the literature surrounding the roles of teacher and student, effective classroom management strategies, and successful evidence-based teaching and learning pedagogies, is to assist new and experienced teachers in the promotion of a positive classroom experience for all.32527 52544
