Textual Agency: How Texts Do Things in Organizational Settings

Organization ◽  
2004 ◽  
Vol 11 (3) ◽  
pp. 373-393 ◽  
Author(s):  
François Cooren
Keyword(s):  
Speech Acts ◽  
Organizational Forms ◽  
Organizational Processes ◽  
Organizational Contexts ◽  
Organizational Settings ◽  
Different Types ◽  
Mode Of Being ◽  
Modern Form ◽  
Active Contribution

Research on organizational discourse typically reduces it to what members do when producing and using texts in organizational contexts, but fails to recognize that texts, on their own, also seem to make a difference. This essay shows that one way to approach discourse is to analyze the active contribution of texts (especially, but not only, documents) to organizational processes, that is, to what extent texts such as reports, contracts, memos, signs, or work orders can be said to be performing something. After reviewing what other scholars have been saying on the question of textual agency, I show how it is possible to ascribe to texts the capacity of doing something without falling into some modern form of animism. Having done that, I explore systematically the different types of action that texts can be said to be performing by taking up Searle’s well-known classification of speech acts. This review then leads me to address questions related to the constitution of organizations, that is, to what extent this reflection on textual agency enables us to redefine the mode of being of organizational forms.

scholarly journals Dealing with jokes in the ESL class: a pedagogical proposal centred on comprehension

Letrônica ◽  
2019 ◽  
Vol 12 (4) ◽  
pp. 36113
Author(s):  
Manuel Padilla Cruz
Keyword(s):  
Speech Acts ◽  
The Other ◽  
Cognitive Factors ◽  
Esl Students ◽  
Advanced Level ◽  
Class A ◽  
Different Types ◽  
Theoretic Classification ◽  
The One

This paper makes a pedagogical proposal to delve into jokes in the ESL classroom and sensitise learners to their complexity. It consists of five instructional phases and is based, on the one hand, on another proposal to teach the pragmatics of speech acts in an L2. On the other hand, this proposal relies on a relevance-theoretic classification of jokes made on the basis of the various linguistic, cultural and cognitive factors that humorists exploit in their production. Since it only centres on how different types of jokes can be distinguished and what their correct comprehension involves, it has a cognitive orientation and does not address issues connected with joke production. The proposal is devised for ESL students with an advanced level of English and ultimately seeks to develop their metalinguistic, meta-cultural and metacognitive abilities as a way of enabling them to grasp the humorousness of funny texts, appraise them and react to them in an appropriate way.***Lidando com piadas na aula de ESL: uma proposta pedagógica centrada na compreensão***Este artigo traz uma proposta pedagógica para aprofundar as piadas na sala de aula de ESL (Inglês como língua estrangeira, na tradução para a língua portuguesa) e sensibilizar os alunos a respeito de sua complexidade. Ela consiste em cinco fases instrucionais que, por um lado, baseia-se em outra proposta de ensino da pragmática dos atos de fala em uma L2 e, por outro lado, baseia-se em uma classificação teórica da relevância das piadas feitas com base nos vários fatores linguísticos, culturais e cognitivos que os humoristas exploram em sua produção. Como a proposta se concentra apenas em como os diferentes tipos de piadas podem ser distinguidos e em qual a correta compreensão envolvida, ela tem uma orientação cognitiva e não aborda questões relacionadas à produção da piada. A proposta é elaborada para estudantes de ESL com um nível avançado de inglês e, por conseguinte, busca desenvolver suas habilidades metalinguísticas, meta-culturais e metacognitivas como uma maneira de permitir-lhes compreender o humor de textos engraçados, avaliá-los e reagir a eles apropriadamente.

scholarly journals Categorizing expressive speech acts in the pragmatically annotated SPICE Ireland corpus

ICAME Journal ◽  
2015 ◽  
Vol 39 (1) ◽  
pp. 25-45 ◽  
Author(s):  
Patricia Ronan
Keyword(s):  
Speech Acts ◽  
Classroom Discussion ◽  
Expressive Speech ◽  
Face To Face ◽  
Different Types ◽  
Corpus Data ◽  
Different Levels

Abstract Expressive speech acts are one of the five basic categories of speech acts identified by Searle (1976). Expressives remain underresearched, though select categories of expressive speech acts, especially offering thanks and compliments, have received more extensive attention. An overall classification of expressive speech acts on the basis of corpus data has not yet been carried out. The current study provides a first survey of different types of expressive speech acts on the basis of three categories of spoken Irish English of different levels of formality: broadcast discussion, classroom discussion and face-to-face interaction. The data are extracted from the pragmatically tagged SPICE-Ireland corpus, a member of the International Corpus of English-family of corpora. The aim of the current study is to offer an overview and classification of expressives in the corpus material. Eight distinct subcategories of expressive speech acts are identified in this study. These categories are agreement, disagreement, volition, offering thanks, apologies, exclamations, expressions of sorrow and greetings.

scholarly journals Speech Acts and Its Translation Accuracy in Bilingual Fables

2020 ◽  
Vol 1 (2) ◽  
pp. 161
Author(s):  
Usep Muttaqin ◽  
Nadia Gitya Yulianita ◽  
Uki Hares Yulianti
Keyword(s):  
Qualitative Research ◽  
Speech Acts ◽  
Speech Act ◽  
Different Types ◽  
Data Source ◽  
Translation Accuracy ◽  
Embedded Case Study ◽  
Descriptive Qualitative

The study aims to analyze the type of speech act found in bilingual fables and its translation accuracy. The theory of Searle (1969) on the classification of speech act and the instrument of translation accuracy from Nababan et. al. (2012) are used in the study.  It is a descriptive qualitative research with embedded-case study. Several fables books from several different publishers are taken as the data source. The result shows that there are seven pairs of speech act found in both SL and TL utterances, namely directive – directive, representative – representative, expressive - expressive, commissive – commissive, directive - representative, expressive – representative, and expressive directive. The first four pairs are in the same type of speech act whereas the last three pairs have different types of speech acts between SL and TL utterances. Those pairs with the same type of speech act are mostly translated accurately while those pairs with different type of speech act are translated less accurately and inaccurately.

Dual stain kit for the microscopic gram classification of ocular infection bacteria

1993 ◽  
Vol 51 ◽  
pp. 248-249
Author(s):  
Jacob S. Hanker ◽  
Dale N. Holdren ◽  
Kenneth L. Cohen ◽  
Beverly L. Giammara
Keyword(s):  
Contact Lenses ◽  
Ocular Infection ◽  
Gram Negative Bacteria ◽  
Gram Negative ◽  
Gram Staining ◽  
Ocular Infections ◽  
Different Types ◽  
Culture Positive ◽  
Increased Susceptibility

Keratitis and conjunctivitis (infections of the cornea or conjunctiva) are ocular infections caused by various bacteria, fungi, viruses or parasites; bacteria, however, are usually prominent. Systemic conditions such as alcoholism, diabetes, debilitating disease, AIDS and immunosuppressive therapy can lead to increased susceptibility but trauma and contact lens use are very important factors. Gram-negative bacteria are most frequently cultured in these situations and Pseudomonas aeruginosa is most usually isolated from culture-positive ulcers of patients using contact lenses. Smears for staining can be obtained with a special swab or spatula and Gram staining frequently guides choice of a therapeutic rinse prior to the report of the culture results upon which specific antibiotic therapy is based. In some cases staining of the direct smear may be diagnostic in situations where the culture will not grow. In these cases different types of stains occasionally assist in guiding therapy.

Explanatory Power for Medical Expert Systems: Studies in the Representation of Causal Relationships for Clinical Consultations

1982 ◽  
Vol 21 (03) ◽  
pp. 127-136 ◽  
Author(s):  
J. W. Wallis ◽  
E. H. Shortliffe
Keyword(s):  
Explanatory Power ◽  
Prototype System ◽  
Inference Rules ◽  
Medical Expert ◽  
Comprehensive Knowledge ◽  
Different Types ◽  
Medical Expert Systems ◽  
Explanation System ◽  
Systems Studies

This paper reports on experiments designed to identify and implement mechanisms for enhancing the explanation capabilities of reasoning programs for medical consultation. The goals of an explanation system are discussed, as is the additional knowledge needed to meet these goals in a medical domain. We have focussed on the generation of explanations that are appropriate for different types of system users. This task requires a knowledge of what is complex and what is important; it is further strengthened by a classification of the associations or causal mechanisms inherent in the inference rules. A causal representation can also be used to aid in refining a comprehensive knowledge base so that the reasoning and explanations are more adequate. We describe a prototype system which reasons from causal inference rules and generates explanations that are appropriate for the user.

scholarly journals Directive Speech Acts in English and Spanish Filmspeak

2020 ◽  
Vol 8 (1) ◽  
pp. 105-125
Author(s):  
Carlos de Pablos-Ortega
Keyword(s):  
Speech Acts ◽  
Native Speakers ◽  
Valuable Contribution ◽  
Spanish Film ◽  
Linguistic Patterns ◽  
Different Types ◽  
Directive Speech Acts ◽  
Film Scripts ◽  
Directive Speech ◽  
Local Grammar

AbstractThe main aim of the study is to ascertain contrastively, in English and Spanish, how directive speech acts are represented in film discourse. For the purpose of the investigation, the directive speech acts of 24 films, 12 in English and 12 in Spanish, were extracted and analysed. A classification taxonomy, inspired by previous research, was created in order to categorize the different types of directive speech acts and determine their level of (in)directness. The results show that indirectness is more widely represented in the English than in the Spanish film scripts, thus confirming the assertion that being indirect is a distinctive feature of English native speakers (Grundy, 2008). This research makes a valuable contribution to the exploration of speech acts in filmspeak and informs the existing local grammar descriptions of the linguistic patterns of directive speech acts.

scholarly journals Deep Learning Methods for Classification of Certain Abnormalities in Echocardiography

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 495
Author(s):  
Imayanmosha Wahlang ◽  
Arnab Kumar Maji ◽  
Goutam Saha ◽  
Prasun Chakrabarti ◽  
Michal Jasinski ◽  
...  
Keyword(s):  
Deep Learning ◽  
Short Term Memory ◽  
Support Vector ◽  
Variational Autoencoder ◽  
Different Types ◽  
Static Images ◽  
Long Short Term Memory ◽  
2D And 3D ◽  
Better Than

This article experiments with deep learning methodologies in echocardiogram (echo), a promising and vigorously researched technique in the preponderance field. This paper involves two different kinds of classification in the echo. Firstly, classification into normal (absence of abnormalities) or abnormal (presence of abnormalities) has been done, using 2D echo images, 3D Doppler images, and videographic images. Secondly, based on different types of regurgitation, namely, Mitral Regurgitation (MR), Aortic Regurgitation (AR), Tricuspid Regurgitation (TR), and a combination of the three types of regurgitation are classified using videographic echo images. Two deep-learning methodologies are used for these purposes, a Recurrent Neural Network (RNN) based methodology (Long Short Term Memory (LSTM)) and an Autoencoder based methodology (Variational AutoEncoder (VAE)). The use of videographic images distinguished this work from the existing work using SVM (Support Vector Machine) and also application of deep-learning methodologies is the first of many in this particular field. It was found that deep-learning methodologies perform better than SVM methodology in normal or abnormal classification. Overall, VAE performs better in 2D and 3D Doppler images (static images) while LSTM performs better in the case of videographic images.

scholarly journals Preventing corneal blindness caused by keratitis using artificial intelligence

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Zhongwen Li ◽  
Jiewei Jiang ◽  
Kuan Chen ◽  
Qianqian Chen ◽  
Qinxiang Zheng ◽  
...  
Keyword(s):  
Early Diagnosis ◽  
Vision Loss ◽  
Learning System ◽  
Automated Classification ◽  
Slit Lamp ◽  
Resource Limited ◽  
The World ◽  
Different Types ◽  
Corneal Blindness

AbstractKeratitis is the main cause of corneal blindness worldwide. Most vision loss caused by keratitis can be avoidable via early detection and treatment. The diagnosis of keratitis often requires skilled ophthalmologists. However, the world is short of ophthalmologists, especially in resource-limited settings, making the early diagnosis of keratitis challenging. Here, we develop a deep learning system for the automated classification of keratitis, other cornea abnormalities, and normal cornea based on 6,567 slit-lamp images. Our system exhibits remarkable performance in cornea images captured by the different types of digital slit lamp cameras and a smartphone with the super macro mode (all AUCs>0.96). The comparable sensitivity and specificity in keratitis detection are observed between the system and experienced cornea specialists. Our system has the potential to be applied to both digital slit lamp cameras and smartphones to promote the early diagnosis and treatment of keratitis, preventing the corneal blindness caused by keratitis.

NEURAL CLASSIFICATION OF MASS ABNORMALITIES WITH DIFFERENT TYPES OF FEATURES IN DIGITAL MAMMOGRAPHY

2006 ◽  
Vol 06 (01) ◽  
pp. 61-75 ◽  
Author(s):  
R. PANCHAL ◽  
B. VERMA
Keyword(s):  
Breast Cancer ◽  
Research Work ◽  
Breast Cancer Diagnosis ◽  
Classification Rate ◽  
Test Dataset ◽  
Benchmark Database ◽  
Different Types ◽  
Breast Tissues ◽  
Mass Type

Early detection of breast abnormalities remains the primary prevention against breast cancer despite the advances in breast cancer diagnosis and treatment. Presence of mass in breast tissues is highly indicative of breast cancer. The research work presented in this paper investigates the significance of different types of features using proposed neural network based classification technique to classify mass type of breast abnormalities in digital mammograms into malignant and benign. 14 gray level based features, four BI-RADS features, patient age feature and subtlety value feature have been explored using the proposed research methodology to attain maximum classification on test dataset. The proposed research technique attained a 91% testing classification rate with a 100% training classification rate on digital mammograms taken from the DDSM benchmark database.

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