A cross-disciplinary and multi-method approach of multilingualism in psychotherapy

In this chapter Jean-Marc and Beverley will share their experiences of working with mixed methods in an under-researched area. As we shall see, her interest in larger sampling groups introduced her to some of the advantages of quantitative research. Together with Jean-Marc, who expands on the methods in detail in this chapter, Beverley was able to research multilingual therapy from several angles

Multilingual clients’ experience of psychotherapy

The present study focuses on the experiences of 182 multilingual clients who had been exposed to various therapeutic approaches in various countries. An on-line questionnaire was used to collect quantitative and qualitative data. The analysis of feedback from clients with multilingual therapists showed that clients use or initiate significantly more code-switching (CS) than their therapists, and that it typically occurs when the emotional tone is raised. Gender was unrelated to CS frequency. CS is used strategically when discussing episodes of trauma and shame, creating proximity or distance. CS allows clients to express themselves more fully to the therapist, adding depth and nuance to the therapy. The therapist’s multilingualism promotes empathy and clients’ own multilingualism constitutes an important aspect of their sense of self. Multilingual clients benefit from a therapeutic environment where multilingualism is appreciated, and where they can use CS

Psychotherapy across languages: beliefs, attitudes and practices of monolingual and multilingual therapists with their multilingual patients

The present study investigates beliefs, attitudes and practices of 101 monolingual and multilingual therapists in their interactions with multilingual patients. We adopted a mixed-method approach, using an on-line questionnaire with 27 closed questions which were analysed quantitatively and informed questions in interviews with one monolingual and two multilingual therapists. A principal component analysis yielded a four-factor solution accounting for 41% of the variance. The first dimension, which explained 17% of variance, reflects therapists’ attunement towards their bilingual patients (i.e., attunement versus collusion). Further analysis showed that the 18 monolingual therapists differed significantly from their 83 bi- or multilingual peers on this dimension. The follow up interviews confirmed this result. Recommendations based on these findings are made for psychotherapy training and supervision to attend to a range of issues including: the psychological and therapeutic functions of multi/bilingualism; practice in making formulations in different languages; the creative therapeutic potential of the language gap

Monomial transformations of the projective space

We prove that, over any field, the dimension of the indeterminacy locus of a rational transformation $f$ of $P^n$ which is defined by monomials of the same degree $d$ with no common factors is at least $(n-2)/2$, provided that the degree of $f$ as a map is not divisible by $d$. This implies upper bounds on the multidegree of $f$

Predicting Intermediate Storage Performance for Workflow Applications

Configuring a storage system to better serve an application is a challenging task complicated by a multidimensional, discrete configuration space and the high cost of space exploration (e.g., by running the application with different storage configurations). To enable selecting the best configuration in a reasonable time, we design an end-to-end performance prediction mechanism that estimates the turn-around time of an application using storage system under a given configuration. This approach focuses on a generic object-based storage system design, supports exploring the impact of optimizations targeting workflow applications (e.g., various data placement schemes) in addition to other, more traditional, configuration knobs (e.g., stripe size or replication level), and models the system operation at data-chunk and control message level. This paper presents our experience to date with designing and using this prediction mechanism. We evaluate this mechanism using micro- as well as synthetic benchmarks mimicking real workflow applications, and a real application.. A preliminary evaluation shows that we are on a good track to meet our objectives: it can scale to model a workflow application run on an entire cluster while offering an over 200x speedup factor (normalized by resource) compared to running the actual application, and can achieve, in the limited number of scenarios we study, a prediction accuracy that enables identifying the best storage system configuration