Hello Neighbour! Talking About Cultural Diversity in Rural Alberta - PowerPoint PPT Presentation

Feb 20, 2023 •940 likes •1.05k views

Hello Neighbour! Talking About Cultural Diversity in Rural Alberta Clark Banack, PhD. Alberta Centre for Sustainable Rural Communities University of Alberta Overall Goal: Intercultural Awareness Cultural diversity is acknowledged All

Hello Neighbour! Talking About Cultural Diversity in Rural Alberta Clark Banack, PhD. Alberta Centre for Sustainable Rural Communities University of Alberta
Overall Goal: Intercultural Awareness – Cultural diversity is acknowledged – All Cultures are valued and treated with respect – Individuals from all cultures are accorded an equal opportunity to participate in community life
Overall Goal: Intercultural Awareness – Cultural diversity is acknowledged – All Cultures are valued and treated with respect – Individuals from all cultures are accorded an equal opportunity to participate in community life – Education and Intercultural Dialogue
Encouraging Personal Reflection and Empathy • Meeting People “where they are” • Being sensitive to the realities of rural life • People need to feel heard before they can open their minds to other ideas
Encouraging Personal Reflection and Empathy • 1: Your Family Story
Encouraging Personal Reflection and Empathy • 2: Exploring Stereotypes
Encouraging Personal Reflection and Empathy • 3. The Reality of Stereotypes • An Introduction to Unconscious Bias: • https://www.youtube.com/watch?v=KCgIRGK Abfc
Final Thoughts • 1. This is a first step…. • 2. Speaking for others….
Additional Resources • Centre for Race and Culture: https://cfrac.com/ – Edmonton based group that publishes anti-racism tools and conducts very good educational workshops • Calgary Anti Racism Education , Alberta Civil Liberties Research Centre: http://www.aclrc.com/cared – Excellent anti-racism information/training • Centre for Rural Affairs : https://www.cfra.org/rural-community-inclusion – Nebraska-based group focused on building inclusion in rural communities in America • Canadian Race Relations Foundation: “Methods for conducting a small group discussion,” https://www.crrf- fcrr.ca/images/Our_Canada/CRRF_Tipsheet_Conducting_Small_Group_Discussions_1.pdf • White Fragility: Why it’s so Hard for White People to Talk About Racism , by Robin Diangelo. Beacon Press: 2018. • “Research says there are ways to reduce racial bias. Calling people racist isn ’ t one of them,” by German Lopez: https://www.vox.com/identities/2016/11/15/13595508/racism-research- study-trump
Contact Information: Alberta Centre for Sustainable Rural Communities Tel: 1-780-679-1672 Email: acsrc@ualberta.ca Website: www.acsrc.ca

Download Presentation

Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

Nearest Neighbour Searching in Metric Spaces Kenneth Clarkson (1999, 2006) Nearest Neighbour

Nearest Neighbour Searching in Metric Spaces Kenneth Clarkson (1999, 2006) Nearest Neighbour Search Problem NN Given: Set U Distance measure D Set of sites S U Query point q U Find: Point p S such that D (

617 views • 51 slides

Fast Nearest Neighbour Classification Gordon Lesti July 17, 2015 Structure Introduction

Fast Nearest Neighbour Classification Gordon Lesti July 17, 2015 Structure Introduction Problem Use Solutions Full Search Orchards Algorithm Annulus Method AESA Outlook Resources Nearest-Neighbour Searching Input Set U

370 views • 34 slides

Neighbour-transitive codes in Johnson graphs Mark Ioppolo Centre for Mathematics of Symmetry and

Codes in Graphs Neighbour-transitive codes Neighbour-transitive codes in Johnson graphs Mark Ioppolo Centre for Mathematics of Symmetry and Computation University of Western Australia August 6, 2013 Joint work with John Bamberg, Alice

238 views • 23 slides

Will you be my neighbour? Exploring community connections between newcomers and

Will you be my neighbour? Exploring community connections between newcomers and long-standing residents Dr. Sarah Morrison Natalie Fasheh Dr. Charlene Pauls mosaicmusiccollective.com

568 views • 15 slides

SEcure Neighbour Discovery (SEND) Arun Raghavan Department of Computer Science IIT Kanpur

The Problem SEcure Neighbour Discovery Miscellanea SEcure Neighbour Discovery (SEND) Arun Raghavan Department of Computer Science IIT Kanpur CS625: Advanced Computer Networks Arun Raghavan SEcure Neighbour Discovery (SEND) The Problem

624 views • 44 slides

CS480/680 Lecture 2: May 8 th , 2019 Nearest Neighbour [RN] Sec. 18.8.1, [HTF] Sec. 2.3.2, [D]

CS480/680 Lecture 2: May 8 th , 2019 Nearest Neighbour [RN] Sec. 18.8.1, [HTF] Sec. 2.3.2, [D] Chapt. 3, [B] Sec. 2.5.2, [M] Sec. 1.4.2 University of Waterloo CS480/680 Spring 2019 Pascal Poupart 1 Inductive Learning (recap) Induction

1.2k views • 25 slides

Silver and Gold Were we to know the value of helping our neighbour for the love of God, we

Silver and Gold Were we to know the value of helping our neighbour for the love of God, we would value it more than silver and gold. Blessed Edmund Rice CHRISTMAS 20 14 Gift Catalogue for Ghana PRESENTATION BROTHERS & BREBEUF

442 views • 4 slides

Basic Classification Algorithms Rules, Linear Regression, Nearest Neighbour Outline Rules

Basic Classification Algorithms Rules, Linear Regression, Nearest Neighbour Outline Rules Linear Regression Nearest Neighbour Generating Rules A decision tree can be converted into a rule set A>5 + B>=0 B<7

1.09k views • 57 slides

Basic Classification Algorithms (2) Rules, Linear Regression, Nearest Neighbour Outline Rules

Basic Classification Algorithms (2) Rules, Linear Regression, Nearest Neighbour Outline Rules Linear Regression Nearest Neighbour Generating Rules A decision tree can be converted into a rule set A>5 + B>=0

815 views • 57 slides

Neighbour-swap Graphs Generating linear extensions of posets by adjacent transpositions Gijs

Neighbour-swap Graphs Generating linear extensions of posets by adjacent transpositions Gijs Bellaard 24 Juli 2019 Gijs Bellaard Neighbour-swap Graphs 24 Juli 2019 1 / 37 Outline Introduction 1 Preliminaries 2 Properties of

549 views • 37 slides

Applying One-vs-One and One-vs-All Classifiers in k -Nearest Neighbour Method and Support Vector

Oral Presentation at MIE 2011 30th August 2011 Oslo Applying One-vs-One and One-vs-All Classifiers in k -Nearest Neighbour Method and Support Vector Machines to an Otoneurological Multi-Class Problem Kirsi Varpa, Henry Joutsijoki, Kati Iltanen,

502 views • 12 slides

Regression Regression is a predictive method (like the nearest neighbour algorithm) The

Regression Regression is a predictive method (like the nearest neighbour algorithm) The approach is to try to describe a dependent variable in terms of one or more independent variables Regression can be used with both quantitative

402 views • 4 slides

Efficient Anomaly Detection by Isolation using Nearest Neighbour Ensemble Tharindu

Information Technology Efficient Anomaly Detection by Isolation using Nearest Neighbour Ensemble Tharindu Rukshan Bandaragoda Kai Ming Ting David Albrecht Fei Tony Liu Jonathan R. Wells Outline Overview of anomaly detection

657 views • 41 slides

Learn from Thy Neighbour: Parallel-Chain Adaptive MCMC Radu Craiu Department of Statistics

Brief Review Some Theoretical Tools Cant Learn whAt We dont See (CLAWS) ANTagonistic LEaRning (ANTLER) Conclusions Learn from Thy Neighbour: Parallel-Chain Adaptive MCMC Radu Craiu Department of Statistics University of Toronto

511 views • 39 slides

Understanding Similarity Metrics in Neighbour-based Recommender Systems Alejandro Bellogn , Arjen

Understanding Similarity Metrics in Neighbour-based Recommender Systems Alejandro Bellogn , Arjen de Vries Information Access CWI ICTIR, October 2013 Motivation Why some recommendation methods perform better than others? 2 Alejandro

442 views • 33 slides

TagProp: Discriminative Metric Learning in Nearest Neighbour Models for Image Auto-Annotation

Introduction Metric Learning Data Sets and Evaluation Results Conclusion TagProp: Discriminative Metric Learning in Nearest Neighbour Models for Image Auto-Annotation Guillaumin, Mensink, Verbeek, Schmid Daniel Rios-Pavia, Thomas

526 views • 39 slides

Discovery: Empathy Co-design program session 3 Created by Check-in Team Reflection and

Discovery: Empathy Co-design program session 3 Created by Check-in Team Reflection and Practice Principles Check-in Solving Complex Problems: Describe a time when you designed a solution to a complex problem How did you do it?

839 views • 32 slides

THE MIND AND BODY OF SEARCH GOOD? | EMOTIONS? | PRODUCT? Jan Gossart, Hercules and Deianira ,

@ANGELMALDONADO THE MIND AND BODY OF SEARCH GOOD? | EMOTIONS? | PRODUCT? Jan Gossart, Hercules and Deianira , 1517 , oil on oak panel, 37 x 27 cm. University of Birmingham (England), Barber Institute of Arts, inv. no. 46.10 (artwork in the

393 views • 15 slides

EMPATHY IN THE ENTERPRISE: understanding the role humans and technology play in big website

EMPATHY IN THE ENTERPRISE: understanding the role humans and technology play in big website problems Dani Nordin, Director of Digital UX Drupalcon New Orleans, May 2016 EMPATHY IN THE ENTERPRISE Hi there! Dani Nordin (@danigrrl) is the

917 views • 42 slides

10/15/2018 About Me Professional Certified Coach ( 900+ certified hours) MBTI and ELI

10/15/2018 About Me Professional Certified Coach ( 900+ certified hours) MBTI and ELI Certified Practitioner 12 Years as Trade Association Executive Director Lifelong Entrepreneur (Apparel, Fitness, Coaching) Podcaster, The

325 views • 11 slides

Science involves both making (logically sound) arguments and testing them against other

Science involves both making (logically sound) arguments and testing them against other alternative explanations Goal, in theory, is generation of knowledge Current social Ancient Greek concept science formulation C. S. Pierce formulation

419 views • 6 slides

Introduction to Political Research Session 2-The Purpose of Social Science Research Lecturer: Prof.

POLI 343 Introduction to Political Research Session 2-The Purpose of Social Science Research Lecturer: Prof. A. Essuman-Johnson, Dept. of Political Science Contact Information: aessuman-johnson@ug.edu.gh College of Education School of Continuing and

541 views • 18 slides

Empiricism, Probability, and Knowledge of Arithmetic Sean Walsh Department of Logic and

I. Intro II. Avoiding Counting Assignments III. Avoiding Alignment IV. Summary + Questions Empiricism, Probability, and Knowledge of Arithmetic Sean Walsh Department of Logic and Philosophy of Science University of California, Irvine

396 views • 27 slides

2018-01-22 Methods & Theories PSY 525.001 Vision Science 2018 Spring Rick Gilmore

2018-01-22 Methods & Theories PSY 525.001 Vision Science 2018 Spring Rick Gilmore 2018-01-22 17:49:12 1 / 87 Today's topics Theoretical approaches to vision Methods in vision research 2 / 87 Goals Why vision science matters to

1.23k views • 99 slides