Mnemonic Institutions and Residential Clustering: Jewish Residential Patterns in Toronto

Harold, Joshua; Fong, Eric

doi:10.1111/cars.12192

Cited by 2 publications

(1 citation statement)

References 49 publications

(55 reference statements)

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“…While Chicago was fairly stable, Toronto is known to be a more dynamic and diverse city, with significant and increasing immigrant population (Hulchanski et al 2010; Fong and Chan 2011), especially Asian (Fong and Wilkes 2003). Toronto is also known for a stable and well‐defined Jewish community (Fong and Chan 2011; Harold and Fong 2018). Therefore, we expect a combination of stable and dynamic regions on the results, with Place of Birth, Home Language, and Religion identified as relevant aspects.…”

Section: Illustrative Scenariosmentioning

confidence: 99%

Neighborhood Dynamics with Unharmonized Longitudinal Data

Dias

Silver

2019

Geographical Analysis

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This article proposes a novel method for data-driven identification of spatiotemporal homogeneous regions and their dynamics, enabling the exploration of their composition and extents. Using a simple network representation, the method enables temporal regionalization without the need for geographical harmonization. To allow for a transparent corroboration of our method, we use it as a basis for an interactive and intuitive interface for the progressive exploration of the results. The interface guides the user through the original data, enabling both experts and nonexperts to characterize broad patterns of stability and change and identify detailed local processes. The proposed methodology is suitable for any region-based data, and we validate our method with illustrative scenarios from Chicago and Toronto, with results that match the established literature. The system is publicly available, with demographic data for over forty regions in the USA and Canada between 1970 and

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Section: Illustrative Scenariosmentioning

confidence: 99%

Neighborhood Dynamics with Unharmonized Longitudinal Data

Dias

Silver

2019

Geographical Analysis

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Animating memories: revealing the organisation of remembering in interaction at museum exhibits

Meechan,

vom Lehn

2024

Österreich Z Soziol

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In this article we will explore how people’s memories of past experiences and events are evoked through their interaction with, and around museum objects. By examining naturally-occurring interactions which emerge at exhibits, we investigate how people draw upon material objects within the museum- texts and exhibits, when vocalising their rememberings of past experiences and events, and address the role of the body in animating these occasioned memories. Thus, we can observe how memories are brought to life at exhibits- these past encounters supplying a means through which to engage in the present, and address how people’s aesthetic encounters are shaped by these vocal and bodily animated rememberings. We also examine a case in which a participant’s remembering is questioned, exploring how participants resolve the contested status of memory to arrive at a concerted way of remembering and experiencing an exhibit. The analysis contributes to discussions within the sociology of memory and memory studies, as well as to museology and related areas of research. It is based on field observations and video-recordings of interaction in museums and other exhibitions in Great Britain and Europe, adopting ethnomethodology and conversation analysis as its analytic attitude.

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Mnemonic Institutions and Residential Clustering: Jewish Residential Patterns in Toronto

Cited by 2 publications

References 49 publications

Neighborhood Dynamics with Unharmonized Longitudinal Data

Neighborhood Dynamics with Unharmonized Longitudinal Data

Animating memories: revealing the organisation of remembering in interaction at museum exhibits

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