1,721,002 research outputs found
Worry about the Future in the Climate Change Emergency: A Mediation Analysis of the Role of Eco-Anxiety and Emotion Regulation
Full text linkThe climate change emergency is one of the most important challenges of our time, and its impact on mental health has been evident for years. It is very important for clinicians to delve deeper into these manifestations. There are a wide variety of constructs, symptoms, and scales to measure the impact of climate change on mental health. Eco-anxiety is one of the constructs that has specifically emerged, in association with worry, about the future. In mental health studies, it is important to explore the relationship between eco-anxiety and emotion regulation and how much this relationship leads to worry about the future in order to be able to offer clinical intervention recommendations. Indeed, the hypothesis of this study is that it is possible to develop worries about the future when symptoms of eco-anxiety and a poor ability to regulate emotions are present. Particularly, emotion dysregulation could increase eco-anxiety symptoms and generate worries about one's own future. For this reason, we have chosen to explore the relationships between these three constructs with the use of a mediation analysis. For this research, 351 participants were recruited in Italy. The proposed mediation model highlighted the findings that emotion dysregulation was positively related with eco-anxiety and that eco-anxiety predicts worry about the future. An association between emotion dysregulation and worry about the future was present. Eco-anxiety appeared to be an important mediator between emotional dysregulation and worry about the future. Emotion regulation could play a pivotal role in addressing concerns about the future. These findings could pave the way for exploring new research avenues and potential clinical interventions
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Pupils' inclusion as a process of narrative interactions: tackling ADHD typification through MADIT methodology
Full text linkBackground: ADHD is the most common childhood neurodevelopmental disorder. The symptomatology makes the management of ADHD particularly demanding in school, so teachers’ training programs have been widely implemented. Nevertheless, these interventions could lead teachers to concentrate on the dysfunctional elements of these students, exposing them to the risk of stigmatisation. Conceptualising stigma and inclusion as narrative processes, the present study observed how teacher ADHD training texts, endorsed by the Italian government, impact on the inclusion process of students. Methods: The research analysed a corpus of N = 31,261 text occurrences and focused on three areas: (1) ADHD as a clinical condition; (2) the impact of ADHD characteristics in the scholastic setting; (3) interventions to manage ADHD criticalities in school settings. To observe the interactive processes fostered by the narratives under scrutiny, we used Dialogic Science and MADIT methodology, since they allow us to measure the language use modalities through an index: the Dialogical Weight (dW). The value of dW ranges between 0.1 (min) and 0.9 (max) and is linked to the potential outcomes of inclusion for students with ADHD. A low dW accounts for narratives entrenched in personal beliefs presented as absolute truths, undermining inclusion of students with ADHD. In contrast, high dW signals language interaction relying on sharable elements, able to foster social unity and diminish stigma. Results: The results yielded a critical discursive configuration, both in general and for the three distinct areas. We measured an overall Dialogical Weight of 0.4dW and, for the three areas (1) = 0.3dW; (2) = 0.3dW; (3) = 0.4dW. The analysed text does not maximise the triggering of inclusive interactions, as they rely on individual references and present one’s narrative as the sole plausible perspective: reinforcing already existing positions and exposing to the risk of stereotyping of the pupils. Conclusions: The study highlighted how the ADHD training materials analysed, focusing on a purely informational and clinical approach, lose in effectiveness with respect to generating inclusive school settings. Finally, to promote the inclusion of these pupils, elements are offered for outlining an approach based on fostering active participation by all roles involved
Clinical Questions and Psychological Change: How Can Artificial Intelligence Support Mental Health Practitioners?
Full text linkDespite their diverse assumptions, clinical psychology approaches share the goal of mental health promotion. The literature highlights their usefulness, but also some issues related to their effectiveness, such as their difficulties in monitoring psychological change. The elective strategy for activating and managing psychological change is the clinical question. But how do different types of questions foster psychological change? This work tries to answer this issue by studying therapist–patient interactions with a ML model for text analysis. The goal was to investigate how psychological change occurs thanks to different types of questions, and to see if the ML model recognized this difference in analyzing patients’ answers to therapists’ clinical questions. The experimental dataset of 14,567 texts was divided based on two different question purposes, splitting answers in two categories: those elicited by questions asking patients to start describing their clinical situation, or those from asking them to detail how they evaluate their situation and mental health condition. The hypothesis that these categories are distinguishable by the model was confirmed by the results, which corroborate the different valences of the questions. These results foreshadow the possibility to train ML and AI models to suggest clinical questions to therapists based on patients’ answers, allowing the increase of clinicians’ knowledge, techniques, and skills
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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