European societies and schools face the challenge of accommodating immigrant minorities from increasingly diverse cultural backgrounds. In view of significant belonging and achievement gaps between minority and majority groups in school, we examine which diversity approaches are communicated by actual school policies and which approaches predict smaller ethnic gaps in student outcomes over time. To derive diversity approaches, we content-analyzed diversity policies from ( = 66) randomly sampled Belgian middle schools. Cluster analysis yielded different approaches valuing, ignoring, or rejecting cultural diversity in line with multiculturalism, colorblindness, and assimilationism, respectively. We estimated multilevel path models that longitudinally related diversity approaches to ( = 1,747) minority and ( = 1,384) majority students' school belonging and achievement (self-reported grades) 1 year later. Multiculturalism predicted smaller belonging and achievement gaps over time; colorblindness and assimilationism were related to wider achievement and belonging gaps, respectively. Longitudinal effects of colorblindness on achievement were mediated by (less) prior school belonging.

Download full-text PDF

Source
http://dx.doi.org/10.1177/0146167219838577DOI Listing

Publication Analysis

Top Keywords

belonging achievement
16
achievement gaps
12
colorblindness assimilationism
12
diversity approaches
12
diversity policies
8
gaps minority
8
minority majority
8
multiculturalism colorblindness
8
school belonging
8
belonging
6

Similar Publications

Analyzing the TotalSegmentator for facial feature removal in head CT scans.

Radiography (Lond)

January 2025

Department of Radiology, Charité Universitätsmedizin Berlin, Berlin, Germany; Berlin Institute of Health, Berlin, Germany.

Background: Facial recognition technology in medical imaging, particularly with head scans, poses privacy risks due to identifiable facial features. This study evaluates the use of facial recognition software in identifying facial features from head CT scans and explores a defacing pipeline using TotalSegmentator to reduce re-identification risks while preserving data integrity for research.

Methods: 1404 high-quality renderings from the UCLH EIT Stroke dataset, both with and without defacing were analysed.

View Article and Find Full Text PDF

The present study was designed to investigate the impact of advertising on adolescents' mental health. To achieve this, we sought to test the mediating effect of commercial fear of missing out (FOMO) related to gadgets and clothing items on the relationship between the need to belong and psychological distress. The research was conducted on a sample of 335 Romanian adolescents (54.

View Article and Find Full Text PDF

Organic-inorganic hybrid lead halides have been extensively studied due to their outstanding physical properties and diverse compositional elements. However, environmentally benign tin-based hybrids with remarkable flexibility in bandgap engineering have been less investigated. Herein, we report the successful design and synthesis of three tin-based organic-inorganic hybrid compounds through precise molecular modification: [Me(i-Pr)N][SnBr] (), [MeCHCl(i-Pr)N][SnBr] (), and [MeCHBr(i-Pr-Br)N][SnBr] ().

View Article and Find Full Text PDF

Based on the concept "Derived from Agroforestry, belong to (Servicing) Agroforestry", we herein achieved the tandem catalytic transformation of lignin to phenolic aryl acrylic esters, which can work as plant growth regulators. The transformation involves the first catalytic oxidative fractionation (COF) of lignin into aromatic aldehydes, which can further undergo Knoevenagel condensation with acids/esters with active Cα-H to generate the phenolic aryl acrylic esters. For the first lignin transformation, the Cu salt (CuSO4) in a 7.

View Article and Find Full Text PDF

Purpose: Information retrieval (IR) and risk assessment (RA) from multi-modality imaging and pathology reports are critical to prostate cancer (PC) treatment. This study aims to evaluate the performance of four general-purpose large language model (LLMs) in IR and RA tasks.

Materials And Methods: We conducted a study using simulated text reports from computed tomography, magnetic resonance imaging, bone scans, and biopsy pathology on stage IV PC patients.

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!