Using visual methods to capture embedded processes of resilience for youth across cultures and contexts.

J Can Acad Child Adolesc Psychiatry

Interdisciplinary PhD Program, Dalhousie University, Halifax, Nova Scotia.

Published: February 2010

Objectives: We review the value of using visual data in a dialogue with youth, to reflect, explore and find language to better understand processes of resilience.

Methods: The argument is demonstrated with examples from the Negotiating Resilience Project (NRP): an international study of 16 youth which uses video recording a day in the life of youth participants, photographs produced by youth, and reflective interviews with the youth about their visual data.

Results: Three examples from the NRP are used to show the ways that visual methods can capture and elucidate previously hidden aspects of youth's positive psychosocial development in stressful social ecologies.

Conclusion: Incorporating images as research data can aid in understanding previously unarticulated constructions of youth resilience. When the researcher is reflexive about power dynamics and their role in co-constructing the research environment, visual methods have the potential to reduce power imbalances in the field, meaningfully engage youth in the research process, and help to overcome language barriers.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2809441PMC

Publication Analysis

Top Keywords

visual methods
12
methods capture
8
youth
8
visual
5
capture embedded
4
embedded processes
4
processes resilience
4
resilience youth
4
youth cultures
4
cultures contexts
4

Similar Publications

Comparison of Recruitment Method on Clinical Outcomes Following Cervical Disc Arthroplasty.

Spine (Phila Pa 1976)

January 2025

Indiana Spine Group Location of investigation Indiana Spine Group, 13225 N. Meridian Street, Carmel, IN 46032.

Study Design: Retrospective cohort.

Objective: To compare the clinical outcomes of trial versus standard clinical practice (SCP) patients following cervical disc arthroplasty (CDA).

Background: CDA is hypothesized to reduce the shear strain and related complications resulting from fusion procedures.

View Article and Find Full Text PDF

Introduction: Aging is associated with the potential onset of vision and hearing problems, affecting the quality of life and functional independence of older adults. This study sought to investigate the prevalence of various vision and hearing problems in 76-year-old Faroese individuals and examine possible regional variations in these health issues.

Materials And Methods: A cross-sectional study design was used, surveying 175 participants, all 76-year-olds, from different regions in the Faroe Islands.

View Article and Find Full Text PDF

Differential expression of osteoblast-like cells on self-organized titanium dioxide nanotubes.

J Dent Sci

December 2024

Division for Globalization Initiative, Liaison Center for Innovative Dentistry, Tohoku University Graduate School of Dentistry, Sendai, Japan.

Background/purpose: Titanium dioxide nanotube (TNT) structures have been shown to enhance the early osseointegration of dental implants. Nevertheless, the optimal nanotube diameter for promoting osteogenesis remains unclear due to variations in cell types and manufacture of nanotubes. This study aimed to evaluate the differences in MC3T3-E1 and Saos-2 cells behavior on nanotubes of varying diameters.

View Article and Find Full Text PDF

Background/purpose: Computer-assisted implant surgery (CAIS) is increasingly performed to reduce deviations in implant position. Dynamic CAIS or navigation systems provide instant display of implant drilling instruments and patient positions directly on the computer monitor. Augmented reality (AR) technology allows operators to visualize real-time information projected onto the lenses of AR glasses.

View Article and Find Full Text PDF

An empirical study of LLaMA3 quantization: from LLMs to MLLMs.

Vis Intell

December 2024

Department of Information Technology and Electrical Engineering, ETH Zurich, Sternwartstrasse 7, Zürich, Switzerland.

The LLaMA family, a collection of foundation language models ranging from 7B to 65B parameters, has become one of the most powerful open-source large language models (LLMs) and the popular LLM backbone of multi-modal large language models (MLLMs), widely used in computer vision and natural language understanding tasks. In particular, LLaMA3 models have recently been released and have achieved impressive performance in various domains with super-large scale pre-training on over 15T tokens of data. Given the wide application of low-bit quantization for LLMs in resource-constrained scenarios, we explore LLaMA3's capabilities when quantized to low bit-width.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!