3,931 research outputs found

    Job desirability of the university professorate in the field of educational leadership

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    Journal ArticleThis survey research study uses job choice theory to assess recent educational leadership doctoral graduates' perceptions of the desirability of the educational administration professorate. Results reveal attractive and unattractive aspects of professorial work as well as those job attributes that are most strongly related to candidates' assessment of overall job desirability and job intentions

    A Review of Shark Control in Hawaii with Recommendations for Future Research

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    In an attempt to allay public fears and to reduce the risk of shark attack, the state government of Hawaii spent over 300,000onsharkcontrolprogramsbetween1959and1976.Sixcontrolprogramsofvariousintensityresultedinthekillingof4,668sharksatanaveragecostof300,000 on shark control programs between 1959 and 1976. Six control programs of various intensity resulted in the killing of 4,668 sharks at an average cost of 182 per shark. The programs furnished information on diet, reproduction, and distribution of sharks in Hawaii, but research efforts of the programs had a number of shortcomings. Analysis of the biological data gathered was not directed toward the tiger shark, Galeocerdo cuvier (Peron & LeSueur), which is responsible for most attacks in Hawaii. Reliable estimates of shark populations in Hawaii cannot be made based on catch data from control programs because of sampling biases. Most of the information gained from the control programs was not published in reviewed journals and is not readily available to the scientific community. The ability of the control programs to reduce shark populations and to remove large sharks from coastal waters appears to have been stated with more confidence than is warranted, considering seasonal changes observed in shark abundance and variable fishing effort. Shark control programs do not appear to have had measurable effects on the rate of shark attacks in Hawaiian waters. Implementation of large-scale control programs in the future in Hawaii may not be appropriate. Increased understanding of the behavior and biology of target species is necessary for evaluation of the effectiveness of small-scale control efforts, such as selective fishing after an attack. Acoustic telemetry, conventional tagging, and studies on population dynamics concentrating primarily on the tiger shark may be used to obtain data about activity patterns, distribution, and population parameters, providing information useful for reducing the risk of shark attack in Hawaii and elsewhere

    Voter Model with Time dependent Flip-rates

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    We introduce time variation in the flip-rates of the Voter Model. This type of generalisation is relevant to models of ageing in language change, allowing the representation of changes in speakers' learning rates over their lifetime and may be applied to any other similar model in which interaction rates at the microscopic level change with time. The mean time taken to reach consensus varies in a nontrivial way with the rate of change of the flip-rates, varying between bounds given by the mean consensus times for static homogeneous (the original Voter Model) and static heterogeneous flip-rates. By considering the mean time between interactions for each agent, we derive excellent estimates of the mean consensus times and exit probabilities for any time scale of flip-rate variation. The scaling of consensus times with population size on complex networks is correctly predicted, and is as would be expected for the ordinary voter model. Heterogeneity in the initial distribution of opinions has a strong effect, considerably reducing the mean time to consensus, while increasing the probability of survival of the opinion which initially occupies the most slowly changing agents. The mean times to reach consensus for different states are very different. An opinion originally held by the fastest changing agents has a smaller chance to succeed, and takes much longer to do so than an evenly distributed opinion.Comment: 16 pages, 6 figure

    Young Lives and Imagined Futures: Insights from Archived Data

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    On 15th November 2010, Timescapes and the UK Data Archive (UKDA) hosted a seminar ‘Young Lives and Imagined Futures: Analysing and Re-Analysing Narrative Data on Young Lives.’ The seminar investigated data on young people’s orientationto their future lives. In addition to engaging with time and young lives, the seminar also explored methodologies for primary and secondary analysis of historical and contemporary datasets. In this working paper we bring together two papers from this event: Graham Crow and Dawn Lyon’s ‘Turning points in work and family life in the imagined futures of young people on Sheppey in 1978’ and Mandy Winterton and Sarah Irwin’s ‘Youngsters’ expectations and context: secondary analysis and interpretation’. These papers are significant together because they both draw on secondary analysis projects, constructing new insight from archived data collected by others and for other purposes. These two papers draw heavily on similar kinds of data to explore young people’s lives and imagined futures, although in very different ways. Yet it is worth noting that they were never pre-designed to sit so readily side by side. There was no discussion between the authors at any point. It was entirely fortuitous that they offered, by the extent of their similarities and difference, stimulating insight about the possibilities of qualitative secondary analysis when placed side by side. Before introducing these two papers, we provide some insight into the context of the day. We can only map below the nature and diversity of the research that was presented and cannot do justice here to the complexity and richness of the research that was offered

    Finite-size scaling of the error threshold transition in finite population

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    The error threshold transition in a stochastic (i.e. finite population) version of the quasispecies model of molecular evolution is studied using finite-size scaling. For the single-sharp-peak replication landscape, the deterministic model exhibits a first-order transition at Q=Qc=1/aQ=Q_c=1/a, where Q% Q is the probability of exact replication of a molecule of length L→∞L \to \infty, and aa is the selective advantage of the master string. For sufficiently large population size, NN, we show that in the critical region the characteristic time for the vanishing of the master strings from the population is described very well by the scaling assumption \tau = N^{1/2} f_a \left [ \left (Q - Q_c) N^{1/2} \right ] , where faf_a is an aa-dependent scaling function.Comment: 8 pages, 3 ps figures. submitted to J. Phys.

    Stochasticity and evolutionary stability

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    In stochastic dynamical systems, different concepts of stability can be obtained in different limits. A particularly interesting example is evolutionary game theory, which is traditionally based on infinite populations, where strict Nash equilibria correspond to stable fixed points that are always evolutionarily stable. However, in finite populations stochastic effects can drive the system away from strict Nash equilibria, which gives rise to a new concept for evolutionary stability. The conventional and the new stability concepts may apparently contradict each other leading to conflicting predictions in large yet finite populations. We show that the two concepts can be derived from the frequency dependent Moran process in different limits. Our results help to determine the appropriate stability concept in large finite populations. The general validity of our findings is demonstrated showing that the same results are valid employing vastly different co-evolutionary processes

    Random copying in space

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    Random copying is a simple model for population dynamics in the absence of selection, and has been applied to both biological and cultural evolution. In this work, we investigate the effect that spatial structure has on the dynamics. We focus in particular on how a measure of the diversity in the population changes over time. We show that even when the vast majority of a population's history may be well-described by a spatially-unstructured model, spatial structure may nevertheless affect the expected level of diversity seen at a local scale. We demonstrate this phenomenon explicitly by examining the random copying process on small-world networks, and use our results to comment on the use of simple random-copying models in an empirical context.Comment: 26 pages, 11 figures. Based on invited talk at AHRC CECD Conference on "Cultural Evolution in Spatially Structured Populations" at UCL, September 2010. To appear in ACS - Advances in Complex System

    Destruction of the Mott Insulating Ground State of Ca_2RuO_4 by a Structural Transition

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    We report a first-order phase transition at T_M=357 K in single crystal Ca_2RuO_4, an isomorph to the superconductor Sr_2RuO_4. The discontinuous decrease in electrical resistivity signals the near destruction of the Mott insulating phase and is triggered by a structural transition from the low temperature orthorhombic to a high temperature tetragonal phase. The magnetic susceptibility, which is temperature dependent but not Curie-like decreases abruptly at TM and becomes less temperature dependent. Unlike most insulator to metal transitions, the system is not magnetically ordered in either phase, though the Mott insulator phase is antiferromagnetic below T_N=110 K.Comment: Accepted for publication in Phys. Rev. B (Rapid Communications
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