(Re)constructing the model of interpreting professionalism through institutional work : the perceived impact of agencies on interpreters' work practices

The changing British economic climate and the austerity-led contractualism across public services have brought the role of interpreting agencies to the fore. Drawing on conceptual frameworks derived from the sociology of professions, knowledge-based organisations and institutional theory, this study documents the institutional work of a number of interpreter-turned-managers aimed at creating new practices against the corporatisation logic in the field of public service interpreting (PSI). Through closely observing the everyday managerial operations of interpreting work processes, these findings reveal that interpreters’ ‘professional project’ at the local level is carried out through the institutionalisation of their professional jurisdictions and knowledge claims. The micro-tactics employed by frontline managers constitute important forces of resistance against the procurement logic and sharply contrasts against the outcome of senior-level professionalisation strategies. Therefore, this thesis has made the following contributions. Theoretically, it challenges the traditional ‘association-centred approach’ to modelling the trajectory of PSI and highlights the role of commercial agencies in engineering the work practices of interpreters and the formation of organisational professionalism. It argues that agencies have gone beyond the traditional role of an information broker to a key institutional gatekeeper and central arena for inducing field-level change. An alternative hybrid model is proposed in order to reflect that PSI is changing from a technical profession towards a managed profession, in which traditional values are increasingly merged with business principles and market tenets. Empirically, it provides novel insights into the organisation of interpreting services in practice and opens up the unexplored field of interpreting agencies as a fruitful research site. A wider implication of the research is the need to extend the notion of the interpreting workplace beyond the space where communication-mediation tasks are performed, to where interpreting services are planned, organised and managed. Importantly, professional interpreters should be consulted in the procurement process rather than being treated as numbers by mainstream agencies for contract-bidding purpose

(Re)constructing the model of interpreting professionalism through institutional work : the perceived impact of agencies on interpreters' work practices

The changing British economic climate and the austerity-led contractualism across public services have brought the role of interpreting agencies to the fore. Drawing on conceptual frameworks derived from the sociology of professions, knowledge-based organisations and institutional theory, this study documents the institutional work of a number of interpreter-turned-managers aimed at creating new practices against the corporatisation logic in the field of public service interpreting (PSI). Through closely observing the everyday managerial operations of interpreting work processes, these findings reveal that interpreters’ ‘professional project’ at the local level is carried out through the institutionalisation of their professional jurisdictions and knowledge claims. The micro-tactics employed by frontline managers constitute important forces of resistance against the procurement logic and sharply contrasts against the outcome of senior-level professionalisation strategies. Therefore, this thesis has made the following contributions. Theoretically, it challenges the traditional ‘association-centred approach’ to modelling the trajectory of PSI and highlights the role of commercial agencies in engineering the work practices of interpreters and the formation of organisational professionalism. It argues that agencies have gone beyond the traditional role of an information broker to a key institutional gatekeeper and central arena for inducing field-level change. An alternative hybrid model is proposed in order to reflect that PSI is changing from a technical profession towards a managed profession, in which traditional values are increasingly merged with business principles and market tenets. Empirically, it provides novel insights into the organisation of interpreting services in practice and opens up the unexplored field of interpreting agencies as a fruitful research site. A wider implication of the research is the need to extend the notion of the interpreting workplace beyond the space where communication-mediation tasks are performed, to where interpreting services are planned, organised and managed. Importantly, professional interpreters should be consulted in the procurement process rather than being treated as numbers by mainstream agencies for contract-bidding purpose

Interpreting deep learning output for out-of-distribution detection

Commonly used AI networks are very self-confident in their predictions, even when the evidence for a certain decision is dubious. The investigation of a deep learning model output is pivotal for understanding its decision processes and assessing its capabilities and limitations. By analyzing the distributions of raw network output vectors, it can be observed that each class has its own decision boundary and, thus, the same raw output value has different support for different classes. Inspired by this fact, we have developed a new method for out-of-distribution detection. The method offers an explanatory step beyond simple thresholding of the softmax output towards understanding and interpretation of the model learning process and its output. Instead of assigning the class label of the highest logit to each new sample presented to the network, it takes the distributions over all classes into consideration. A probability score interpreter (PSI) is created based on the joint logit values in relation to their respective correct vs wrong class distributions. The PSI suggests whether the sample is likely to belong to a specific class, whether the network is unsure, or whether the sample is likely an outlier or unknown type for the network. The simple PSI has the benefit of being applicable on already trained networks. The distributions for correct vs wrong class for each output node are established by simply running the training examples through the trained network. We demonstrate our OOD detection method on a challenging transmission electron microscopy virus image dataset. We simulate a real-world application in which images of virus types unknown to a trained virus classifier, yet acquired with the same procedures and instruments, constitute the OOD samples

Space Station medical sciences concepts

Current life sciences concepts relating to Space Station are presented including the following: research, extravehicular activity, biobehavioral considerations, medical care, maintenance of dental health, maintaining health through physical conditioning and countermeasures, protection from radiation, atmospheric contamination control, atmospheric composition, noise pollution, food supply and service, clothing and furnishings, and educational program possibilities. Information on the current status of Soviet Space Stations is contained

Using Hidden-Markov Model in Speech-based Education System for the Visually Impaired Learner

Speech-based e-Education technology allows users to access learning content on the web by dialing a telephone number. Speech-enabled applications, particularly in the domain of education are primarily implemented to cater for the plight of the visually impaired towards addressing the shortcomings of user interface (UI) design of a mobile learner. However, with the increase in learning resources on the web, using telephone to find suitable content has become a painstaking task for speech-based online users to achieve improved performance. The problem of finding suitable content with speech e- learning applications is more difficult when the sight impaired learner is involved. It is convenient to use existing mobile speech-enabled e-learning applications, but it can be exceptionally time-consuming when the user is forced to navigate through several levels of options before finding exact content. The adoption of Hidden markov model (HMM) for interface and interaction design is required to provide easy navigation and adaptation in speech-enabled learning towards solving the problem of finding suitable content. The objective of this study is to provide a design and implementation of a HMM- based speech interactive education. The system will be useful especially for the physically challenged students such as the visually impaired. It also offers an alternative platform of learning for the able- bodied learners

The use of multispectral sensing techniques to detect Ponderosa pine trees under stress from insect or pathogenic organisms

Multispectral sensing techniques for ground and airborne detection of Ponderosa pine trees under stress from insect or pathogenic organism