27 resultados para The job network

em University of Queensland eSpace - Australia


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Promoted as the key policy response to unemployment, the Job Network constitutes an array of interlocking processes that position unemployed people as `problems' in need of remediation. Unemployment is presented as a primary risk threatening society, and unemployed people are presented as displaying various degrees of riskiness. The Job Seeker Classification Instrument (JSCI) is a `technology' employed by Centrelink to assess `risk' and to determine the type of interaction that unemployed people have with the job Network. In the first instance, we critically examine the development of the JSCI and expose issues that erode its credibility and legitimacy. Second, employing the analytical tools of discourse analysis, we show how the JSCI both assumes and imposes particular subject identities on unemployed people. The purpose of this latter analysis is to illustrate the consequences of the sorts of technologies and interventions used within the job Network.

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Using the framework of Communication Accommodation Theory, this study investigated the extent to which job applicants objectively and subjectively altered their accents to converge to or diverge from the speech style of the interviewer Forty-eight male and 48 female job applicants participated in two interviews for a casual research assistant position. In one interview, the interviewer had a broad Australian English accent, and in the other one, the interviewer had a cultivated accent. Applicants showed broader accents with broad-accented interviewers than with cultivated-accented interviewers. Applicants did not converge to the cultivated-accented interviewers, however and male job applicants were more likely than mere females to diverge from the cultivated-accented interviewers. There were also discrepancies between objectively rated changes to applicants' accents and their subjective judgments about the extent of accent accommodation.

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An analytical approach to the stress development in the coherent dendritic network during solidification is proposed. Under the assumption that stresses are developed in the network as a result of the friction resisting shrinkage-induced interdendritic fluid flow, the model predicts the stresses in the solid. The calculations reflect the expected effects of postponed dendrite coherency, slower solidification conditions, and variations of eutectic volume fraction and shrinkage. Comparing the calculated stresses to the measured shear strength of equiaxed mushy zones shows that it is possible for the stresses to exceed the strength, thereby resulting in reorientation or collapse of the dendritic network.

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This paper examines whether social support is a boundary-determining criterion in the job strain model of Karasek (1979). The particular focus is the extent to which different sources of social support, work overload and task control influence job satisfaction, depersonalization and supervisor assessments of work performance. Hypotheses are tested using prospective survey data from 80 clerical staff in a university setting. Results revealed 3-way interactions among levels of support (supervisor, co-worker, non-work), perceived task control and work overload on levels of work performance and employee adjustment (self-report). After controlling for levels of negative affect in all analyses, there was evidence that high levels of supervisor support mitigated against the negative effects of high strain jobs on levels of job satisfaction and reduced reported levels of depersonalization. Moreover, high levels of non-work support and co-worker support also mitigated against the negative effects of high strain jobs on levels of work performance. The results are discussed in terms of the importance of social support networks both at, and beyond, the work context.

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We describe a network module detection approach which combines a rapid and robust clustering algorithm with an objective measure of the coherence of the modules identified. The approach is applied to the network of genetic regulatory interactions surrounding the tumor suppressor gene p53. This algorithm identifies ten clusters in the p53 network, which are visually coherent and biologically plausible.

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Vic Slater and police during the Youth Campaign against Conscription, Brisbane, Australia in 1965. Victor Charles Slater (now retired) was born in Queensland in March 1944 the only child of Jim and Joyce Slater, card carrying members of the Communist Party of Australia. Vic's mother, Joyce, joined up in Great Britain. Vic too joined the party in 1962 after a stint as president of the Eureka Youth League. He stayed with the more broad left CPA when it split from the hardline Stalinists after the Soviet invasion of Czechoslovakia in 1968. Vic joined the Waterside Workers' Federation before his 21st birthday in January 1965, one of 300 casual workers recruited to the Port of Brisbane that year. On the wharves he soon earned the nickname 'the Professor' arriving on the job each day bespectacled and carrying a briefcase heavy with reading matter on world politics and economics - a walking encyclopaedia of information. [information kindly provided by Peter Gray]

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This paper discusses a multi-layer feedforward (MLF) neural network incident detection model that was developed and evaluated using field data. In contrast to published neural network incident detection models which relied on simulated or limited field data for model development and testing, the model described in this paper was trained and tested on a real-world data set of 100 incidents. The model uses speed, flow and occupancy data measured at dual stations, averaged across all lanes and only from time interval t. The off-line performance of the model is reported under both incident and non-incident conditions. The incident detection performance of the model is reported based on a validation-test data set of 40 incidents that were independent of the 60 incidents used for training. The false alarm rates of the model are evaluated based on non-incident data that were collected from a freeway section which was video-taped for a period of 33 days. A comparative evaluation between the neural network model and the incident detection model in operation on Melbourne's freeways is also presented. The results of the comparative performance evaluation clearly demonstrate the substantial improvement in incident detection performance obtained by the neural network model. The paper also presents additional results that demonstrate how improvements in model performance can be achieved using variable decision thresholds. Finally, the model's fault-tolerance under conditions of corrupt or missing data is investigated and the impact of loop detector failure/malfunction on the performance of the trained model is evaluated and discussed. The results presented in this paper provide a comprehensive evaluation of the developed model and confirm that neural network models can provide fast and reliable incident detection on freeways. (C) 1997 Elsevier Science Ltd. All rights reserved.

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Extensive research conducted in the occupational stress literature has failed to provide convincing support for the stress-buffering effects of work control on employee adjustment. Drawing on research conducted in the laboratory context, it was proposed that the stress-buffering effects of work control on employee adjustment would be more marked at high, rather than low, levels of self-efficacy. In a sample of 100 customer service representatives, a significant three-way interaction among role conflict, work control and self-efficacy (measured at Time 1) was observed on (low) depersonalization (measured at Time 2). Consistent with expectations, work control reduced the negative effects of work stress on this outcome measure only for employees who perceived high levels of self-efficacy at work. In addition, there was evidence to suggest that self-efficacy moderated the main effects of work control on job satisfaction and somatic health. These findings are discussed hi terms of their theoretical contribution to the job strain model, and also in relation to workplace interventions designed to improve levels of employee adjustment.

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Alloys of Al, Al-0.15Mg, and Al-12Sn made using air atomized aluminum powder and pressed to green densities of 75 to 98 pet were sintered under argon or nitrogen. Sintering in argon is only effective at high green densities when magnesium is present. In contrast, highly porous aluminum can be sintered in nitrogen without the need for magnesium. The oxygen concentration in the gas is reduced by the aluminum through a self-gettering process. The outer layers of the porous powder compact serve as a getter for the inner layers such that the oxygen partial pressure is reduced deep within the pore network. Aluminum nitride then forms, either by direct reaction with the metal or by reduction of the oxide layer, and sintering follows.