Metalinguistic development in French learners enrolled in an immersion programme: A longitudinal study

Research on bilingualism has shown a bilingual advantage in phonological and syntactic awareness, and more recently on some morphological awareness tasks in children who had acquired two languages simultaneously. However, there is still limited knowledge about this advantage in students who acquire a second language in school after having developed a first language. The present longitudinal study addressed this issue by comparing, over the first two years of primary school, the development of metalinguistic abilities in 33 French learners enrolled in an immersion French–German programme to that of 43 French monolingual peers. Results support the bilingual advantage and add to the growing body of research reaching the same conclusion. In this study, this advantage appears as early as in first grade and the gap favouring second language learners widens with time. The results are discussed in light of differences between the characteristics of the two languages.     

Analyse interlocutoire d’une plainte exprimée par une équipe mobile de soins palliatifs

This article points out the merits of conducting an interlocutory analysis of a group meeting held between two administrations of a questionnaire. Here, the Company Climate Questionnaire was filled out individually by the members of the group before and after the meeting. Changed attitudes toward the supervisory staff were observed after the discussion. All participants were members of a mobile palliative care team at a university hospital. The verbal interaction analysis allowed us to identify the collaborative facet of the complaint that surfaced, and to determine what inter - subjective processes arising during the group discussion triggered the expressed changes of opinion.     

Interpretation: signals from the analytic field and emotional transformations

Through numerous clinical examples and from a point of view focused on field theory the author reflects upon what are the main characteristics of ‘transformative interpretations’ and upon the mental and affective conditions that support it. He especially centers his attention on difficult patients who have experienced cumulative affective traumas in their lives.     

Beyond logic – entering the realm of mystery: hermeneutic phenomenology as a tool for reflecting on children’s spirituality

This paper suggests hermeneutic phenomenology as a theoretical framework for reflecting, interpreting and gaining insight into children’s spirituality. It describes an episode that took place in a Year 5 classroom involving a 10‐year‐old child and his response to an Australian Aboriginal Dreamtime story. The possibilities this observed incident opens for hermeneutic phenomenology are then explored using van Manen’s notion of lifeworld existentials as guides to reflection upon the life expression of this child. The four lifeworld existentials are lived space (spatiality), lived body (corporeality), lived time (temporality) and lived human relation (relationality). In using these as a means by which to interpret the life expression of this child, it is argued that some insights into his or her spirituality can be gleaned.     

Hick’s law equivalent for reaction time to individual stimuli

Hick’s law, one of the few law-like relationships involving human performance, expresses choice reaction time as a linear function of the mutual information between the stimulus and response events. However, since this law was first proposed in 1952, its validity has been challenged by the fact that it only holds for the overall reaction time (RT) across all the stimuli, and does not hold for the reaction time (RT_i) for each individual stimulus. This paper introduces a new formulation in which RT_i is a linear function of (1) the mutual information between the event that stimulus i occurs and the set of all potential response events and (2) the overall mutual information for all stimuli and responses. Then Hick’s law for RT follows as the weighted mean of each side of the RT_i equation using the stimulus probabilities as the weights. The new RT_i equation incorporates the important speed–accuracy trade-off characteristic. When the performance is error-free, RT_i becomes a linear function of two entropies as measures of stimulus uncertainty or unexpectancy. Reanalysis of empirical data from a variety of sources provide support for the new law-like relationship.     

Applying Deutsch’s concept of good explanations to artificial intelligence and neuroscience – An initial exploration

Artificial intelligence has made great strides since the deep learning revolution, but AI systems remain incapable of learning principles and rules which allow them to extrapolate outside of their training data to new situations. For inspiration we look to the domain of science, where scientists have been able to develop theories which show remarkable ability to extrapolate and sometimes even predict the existence of phenomena which have never been observed before. According to David Deutsch, this type of extrapolation, which he calls “reach”, is due to scientific theories being hard to vary. In this work we investigate Deutsch’s hard-to-vary principle and how it relates to more formalized principles in deep learning such as the bias-variance trade-off and Occam’s razor. We distinguish internal variability, how much a model/theory can be varied internally while still yielding the same predictions, with external variability, which is how much a model must be varied to predict new, out-of-distribution data. We discuss how to measure internal variability using the notion of the Rashomon set and how to measure external variability using Kolmogorov complexity. We explore what role hard-to-vary explanations play in intelligence by looking at the human brain, the only example of highly general purpose intelligence known. We distinguish two learning systems in the brain – the first operates similar to deep learning and likely underlies most of perception while the second is a more creative system capable of generating hard-to-vary models and explanations of the world. We make contact with Popperian epistemology which suggests that the generation of scientific theories is a not an inductive process but rather an evolutionary process which proceeds through conjecture and refutation. We argue that figuring out how replicate this second system, which is capable of generating hard-to-vary explanations, is a key challenge which needs to be solved in order to realize artificial general intelligence.     

On modeling the creativity and the concept of Chef-D’oeuvre

The problem of modeling the creativity is shown to be entirely connected with another mysterious challenge — the “Explanatory Gap” between the concepts of “Brain” and “Mind”. We use the Natural Constructive Cognitive Architecture, with its important feature being the combination of two subsystems, for generation of new information and for its conservation. “Brain” is considered as records of the raw images of real objects (individual objective information), while “Mind” refers to individual subjective information created inside the cognitive system (symbols). We argued that creativity can be treated as “an effort to bring a piece of personal “Brain” into the “Mind” and World”. Specific thinking mode (intellectual panic or throes of creativity) is shown to enhance the creative work resulting in over-mobilization and even enriching personal deep inside (“Brain”) experience. It is simulated by chaotic jumps of the noise amplitude around abnormally high value. The nature of Aesthetic Emotions and the concept of Chef-D’oeuvre are analyzed. It is shown that they are caused by the “recognition paradox”: an object seems both, familiar but unusual. This occurs if the “Brain” does see its subtle features, while the “Mind” does not realize. Bright aesthetic emotions (goosebumps) are caused by irregular excitation of implicit associations provided by weak (“gray”) connections of the halo neurons (simulating the subconsciousness). General formula for Chef-D’oeuvre in science and art could be expressed as “condensed capacity to see the invisible, to combine the incompatible”.