272 research outputs found
Constitution de l’auteurité et de l’identité dans des projets d’enseignement d’étudiants de lettres en situation de stage de formation
Cet article présente l’analyse des mouvements de prise en charge énonciative rendus possibles par l’utilisation des indices linguistiques et discursifs qui indiquent les différentes images du scripteur : l’étudiant, l’apprenti-chercheur, l’enseignant. Le corpus est constitué à partir de six propositions didactiques élaborées au long du semestre dans la discipline Stage Supervisé et des rapports de stage. L’analyse, basée sur le paradigme méthodologique interprétatif, a montré que les stratégies employées par les stagiaires signalent une tension permanente entre les deux contextes formatifs – l’école où le sujet réalise le stage et l’université –, ce qui permet d'appréhender des interdiscours et des processus de constitution de l’auteurité du professionnel du champ du langage.Mots-clés : Discours universitaire ; Formation des enseignants ; Constitution de l’auteurité
Processos de referenciação – ações cognitivas e sociodiscursivas em interação
This paper presents, in a socio-discursive perspective based upon the conception of language as an interactive activity, an analysis of the reference process in language within socially-situated contexts: textual genres. Taking into account the process approach, the methodology – i.e., reading of three written texts, a questionnaire for each text, an audio recording of the discussion sessions on the texts (verbal protocol) – made possible the required coverage for the proposed study, through triangulation. Referenciation is built in a dynamic way, within sociointeractive contexts involving subject-reader strategies, from traits in the textual genres. Key words: socio-discursive interaction, action language, referenciation, contextualization, textual genre
Responsividade e dialogicidade na interação com os saberes em projetos de ensino no espaço de formação
Assumindo os subsídios teóricos e metodológicos do interacionismo sociodiscursivo, à luz de estudos sobre gêneros de discurso como possibilidade de instrumentalização e de participação dos sujeitos nas esferas de atividades, neste artigo, de forma a contribuir para as reflexões sobre as práticas formativas, tomadas a partir das interações entre os objetos do conhecimento do campo da linguagem e os modos de didatização desses objetos, objetivamos analisar movimentos apreendidos na interlocução entre os sujeitos diretamente implicados na prática de estágio (estagiário, professora orientadora na universidade e professores supervisores em campo), ao longo de um semestre. Partimos do pressuposto de que o processo formativo, na/pela mediação do gênero projeto de ensino, permite entrever a dinâmica da constituição do futuro docente, isto é, o que se revela e se refrata pela própria constituição sígnica possibilitada pelo gênero. Os dados (versões de projetos de ensino de uma universidade mineira), analisados sob uma perspectiva metodológica de cunho qualitativo e interpretativista, apontam para um processo formativo e profissional marcado por vozes múltiplas e heterogêneas que são mobilizadas em ações responsivas e dialógicas possibilitadas pelo gênero acadêmico em questão.
Palavras-chave: Saberes; Práticas de formação; Discurso acadêmico.Assuming the theoretical and methodological subsidies of sociodiscursive interactionism, in light of studies on genres of discourse as a possibility of instrumentalization and participation of subjects in the fields of activities, in this article, in order to contribute to the reflections on the training practices, taken from the interactions between the objects of knowledge in the field of language and the ways of teaching these objects, we aim to analyze movements attained in the interlocution between the subjects directly involved in the internship practice (intern, supervising professor at the university and supervising professors in the field), throughout one semester. We work off the assumption that the training process, in/through the mediation of the teaching project genre, allows us to glimpse the dynamics of the future teacher's constitution, that is, what is revealed and refracted by the genre's own signical constitution. The data (versions of teaching projects from a university in Minas Gerais), analyzed under a methodological perspective of qualitative and interpretativist nature, point to a training and professional process marked by multiple and heterogeneous voices that are mobilized in responsive and dialogic actions made possible by the academic genre in question
DOMÍNIOS DA LÍNGUA MANIFESTOS EM QUARTO DE DESPEJO A EXPLICITAR A IDENTIDADE SÓCIOCULTURAL: CONTRIBUIÇÕES PARA (RE)PENSAR A PRÁTICA PEDAGÓGICA
DOMÍNIOS DA LÍNGUA MANIFESTOS EM QUARTO DE DESPEJO A EXPLICITAR A IDENTIDADE SÓCIOCULTURAL: CONTRIBUIÇÕES PARA (RE)PENSAR A PRÁTICA PEDAGÓGIC
DOMÍNIOS DA LÍNGUA MANIFESTOS EM QUARTO DE DESPEJO A EXPLICITAR A IDENTIDADE SÓCIOCULTURAL: CONTRIBUIÇÕES PARA (RE)PENSAR A PRÁTICA PEDAGÓGICA
DOMÍNIOS DA LÍNGUA MANIFESTOS EM QUARTO DE DESPEJO A EXPLICITAR A IDENTIDADE SÓCIOCULTURAL: CONTRIBUIÇÕES PARA (RE)PENSAR A PRÁTICA PEDAGÓGIC
EMÍLIA NO PAÍS DA GRAMÁTICA: IDENTIDADE CULTURAL VS. PRECONCEITO LINGUÍSTICO
EMÍLIA NO PAÍS DA GRAMÁTICA: IDENTIDADE CULTURAL VS. PRECONCEITO LINGUÍSTIC
Evaluating face2gene as a tool to identify cornelia de lange syndrome by facial phenotypes
Characteristic or classic phenotype of Cornelia de Lange syndrome (CdLS) is associated with a recognisable facial pattern. However, the heterogeneity in causal genes and the presence of overlapping syndromes have made it increasingly difficult to diagnose only by clinical features. DeepGestalt technology, and its app Face2Gene, is having a growing impact on the diagnosis and management of genetic diseases by analysing the features of affected individuals. Here, we performed a phenotypic study on a cohort of 49 individuals harbouring causative variants in known CdLS genes in order to evaluate Face2Gene utility and sensitivity in the clinical diagnosis of CdLS. Based on the profile images of patients, a diagnosis of CdLS was within the top five predicted syndromes for 97.9% of our cases and even listed as first prediction for 83.7%. The age of patients did not seem to affect the prediction accuracy, whereas our results indicate a correlation between the clinical score and affected genes. Furthermore, each gene presents a different pattern recognition that may be used to develop new neural networks with the goal of separating different genetic subtypes in CdLS. Overall, we conclude that computer-assisted image analysis based on deep learning could support the clinical diagnosis of CdLS.Spanish Ministry of Science, Innovation and Universities/State Research Agency RTC-2017-6494-1; RTI2018-094434-B-I00 (MCIU/AEI/FEDER, UE) to P.G.-P.; Diputación General de Aragón - FEDER: European Social Fund [Grupo de Referencia B32_17R, to J.P.] as well as funds from the European
JPIAMR-VRI network “CONNECT” to P.G.-P.; Medical Faculty of the University of Lübeck J09-2017 to I. P.; German Federal Ministry of Education and Research (BMBF
Bayesian modelling of phosphorus content in wheat grain using hyperspectral reflectance data
Background: As a result of the technological progress, the use of sensors for crop survey has substantially increased, generating valuable information for modelling agricultural data. Plant spectroscopy jointly with statistical modeling can potentially help to assess certain chemical components of interest present in plants, which may be laborious and expensive to obtain by direct measurements. In this research, the phosphorus content in wheat grain is modeled using reflectance information measured by a hyperspectral sensor at different wavelengths. A Bayesian procedure for selecting variables was used to identify the set of the most important spectral bands. Additionally, three different models were evaluated: the first model assumes that the observations are independent, the other two models assume that the observations are spatially correlated: one of the proposed models, assumes spatial dependence using a Conditionally Autoregressive Model (CAR), and the other through an exponential correlogram. The goodness of fit of the models was evaluated by means of the Deviance Information Criterion, and the predictive power is evaluated using cross validation. Results: We have found that CAR was the model that best fits and predicts the data. Additionally, the selection variable procedure in the CAR model reveals which wavelengths in the range of 500–690 nm are the most important. Comparing the vegetative indices with the CAR model, it was observed that the average correlation of the CAR model exceeded that of the vegetative indices by 23.26%, − 1.2% and 22.78% for the year 2010, 2011 and 2012 respectively; therefore, the use of the proposed methodology outperformed the vegetative indices in prediction. Conclusions: The proposal to predict the phosphorus content in wheat grain using Bayesian approach, reflect with the results as a good alternative
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