Genre (sciences sociales) | EPFL Graph Search

Le genre désigne les processus et rapports sociaux qui divisent, polarisent et organisent l'humanité en différentes catégories de « sexe », « genre » et de « sexualité » (tel que masculin / féminin, homme / femme, mâle / femelle, cisgenre / transgenre, intersexe / dyadique, homo / hétéro) Initialement introduit par les sciences psycho-médicales dans les années 1950, puis développé sous l'impulsion des sciences sociales à partir des années 1970, le genre servait alors à distinguer ce qui dans la division entre les sexes relevait du psychologique ou du social et non du biologique. Bien qu'étant encore employé dans ce sens, notamment dans le langage courant, cette dichotomie biologique/social, comme si le social venait se surajouter au biologique, a été remise en cause par les études sur le genre et la définition du genre s'est déplacée vers le principe de division et de catégorisation d'une part, et de classification et de hiérarchisation d'autre part. Le genre est de nos jours une no

Care. Emerging Natures

Pieter Versteegh

The work addresses research by design as a subject and a method. It explores theorizations, experimentations, and verifications, all of them engaged in writing, drawing and building. It is discovery-led, and starts from a blurry "state of the arts". It oscillates between architectural processes, products and performance without considering any of them isolated as research. Its relevance emerges. It is the design process that constructs, delimits the research corpus and produces architectural insight and knowledge. The first part addresses architectural meaning. It engages interdisciplinary connections: structuralism in linguistics and philosophy, color theory, and a displacement into deconstruction. It concludes that, although an architectural design process can deliberately try to produce and uphold determinate architectural meaning, such (objective) meaning is immediately deviated, notably by the appearance of architectural usages, scale, and possibilities of appropriation. The second part investigates deviation as a substantial part of architectural creation. If noise is irreducible, it must also structure architectural creation. It connects to domains resisting to reductionist thought: complexity sciences, literary critics, archaeological processes, and theorizations dealing with the secondary such as psychoanalysis and gender studies. The work is marked by a dilemma related to empowerment: the originality and authenticity of design and its delivery at a certain moment always seem to prohibit inhabitation, appropriation. The secondary, subject to dominant, single authorship, becomes primary. Architecture seems resistant to modernity in the Kantian sense. The work re-centers on psychiatry, gender studies and (health) care: the understanding of natures rather than appearance, structure or essence. In the third part, it moves from the production of difference to inscriptions of memories and future possibilities; from design as making to design as the initiation and care of a shared transformation process, accompaniment of differance. The understanding of architectural reality shifts from the finality of object to a process beyond control, co-construction between different authors/users occurring in minor events, in a very local and specific context. The work proposes a design process driven by care, encounter of authors and users in quality, accompanying different and specific emerging natures of (territorial) identity.

EPFL2012

On Learning to Identify Genders from Raw Speech Signal Using CNNs

Selen Hande Kabil, Hannah Muckenhirn

Automatic Gender Recognition (AGR) is the task of identifying the gender of a speaker given a speech signal. Standard approaches extract features like fundamental frequency and cepstral features from the speech signal and train a binary classifier. Inspired from recent works in the area of automatic speech recognition (ASR), speaker recognition and presentation attack detection, we present a novel approach where relevant features and classifier are jointly learned from the raw speech signal in end-to-end manner. We propose a convolutional neural networks (CNN) based gender classifier that consists of: (1) convolution layers, which can be interpreted as a feature learning stage and (2) a multilayer perceptron (MLP), which can be interpreted as a classification stage. The system takes raw speech signal as input, and outputs gender posterior probabilities. Experimental studies conducted on two datasets, namely AVspoof and ASVspoof 2015, with different architectures show that with simple architectures the proposed approach yields better system than standard acoustic features based approach. Further analysis of the CNNs show that the CNNs learn formant and fundamental frequency information for gender identification.

ISCA-INT SPEECH COMMUNICATION ASSOC2018

Doppelganger-based training: Imitating our virtual self to accelerate interpersonal skills learning

Marion Sandy Curdy, João Pedro de Matos Rodrigues, Maria del Carmen Sandi Perez

Interpersonal skills require mastering a wide range of competencies such as communication and adaptation to different situations. Effective training includes the use of videos in which role models perform the desired behaviours such that trainees can learn through behavioural mimicry. However, new technologies allow new ways of designing training. In the present study, given that virtual reality is emerging as a valuable training setting, we compare two different demonstration conditions within virtual reality by investigating the extent to which the use of doppelgangers as role models can boost trainees' interpersonal skills development as compared to a role model that does not resemble the trainees. We also assess trainees' level of self-efficacy and gender as potential moderators in this relationship. Participants delivered a speech in front of a virtual audience twice. Before delivering their second speech, they watched a role model giving a speech in front of the same audience. The role model was either their doppelganger or an avatar of the same gender depending on the condition they were randomly assigned to. Results showed that the doppelganger-based training was the most beneficial for male trainees low in self-efficacy. These findings have important implications for training design, suggesting that doppelganger-based training might be effective only for a specific subset of trainees.

2021

Care. Emerging Natures

Pieter Versteegh

EPFL2012