Replication Data for: Pandemic Fiction Meets Political Science: A Simulation for Teaching Restorative Justice (doi:10.7910/DVN/ZHYKSD)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
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Document Description

Citation

Title:

Replication Data for: Pandemic Fiction Meets Political Science: A Simulation for Teaching Restorative Justice

Identification Number:

doi:10.7910/DVN/ZHYKSD

Distributor:

Harvard Dataverse

Date of Distribution:

2020-08-24

Version:

1

Bibliographic Citation:

Propst, Lisa; Robinson, Christopher C., 2020, "Replication Data for: Pandemic Fiction Meets Political Science: A Simulation for Teaching Restorative Justice", https://doi.org/10.7910/DVN/ZHYKSD, Harvard Dataverse, V1, UNF:6:W+kc4kxxdDM8dJPWru7p4Q== [fileUNF]

Study Description

Citation

Title:

Replication Data for: Pandemic Fiction Meets Political Science: A Simulation for Teaching Restorative Justice

Identification Number:

doi:10.7910/DVN/ZHYKSD

Authoring Entity:

Propst, Lisa (Clarkson University)

Robinson, Christopher C. (Clarkson University)

Distributor:

Harvard Dataverse

Access Authority:

Propst, Lisa

Depositor:

Propst, Lisa

Date of Deposit:

2020-08-21

Holdings Information:

https://doi.org/10.7910/DVN/ZHYKSD

Study Scope

Keywords:

Social Sciences

Abstract:

We team teach an interdisciplinary political science and literature course titled “Violence and Reconciliation,” with case studies on the Truth and Reconciliation Commission (TRC) in South Africa and on debates about whether to develop a TRC in Northern Ireland. The course culminates in a two-week simulation where students role-play the experiences, strategies, and needs of victims, perpetrators, legal teams, government officials, and NGOs in the aftermath of a horrific event that has torn a society apart. We assessed the simulation through pre- and post-writing exercises as well as observations of the insights revealed by students during negotiations. We believe the simulation is an effective tool in helping students move from a scholarly engagement with the tools and processes of restorative justice to actually employing them in response to hatred and violence. In this paper we share the simulation for use or adaptation in other courses.

Kind of Data:

Assessment of student work

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Other Study Description Materials

File Description--f4031677

File: Assessment data-Violence and Reconciliation 2018.tab

  • Number of cases: 17

  • No. of variables per record: 4

  • Type of File: text/tab-separated-values

Notes:

UNF:6:W+kc4kxxdDM8dJPWru7p4Q==

Assessment data- student assignments in Violence and Reconciliation course

Variable Description

List of Variables:

Variables

Understandbenefitsofrestorativejusticemechanisms:Numberofstudentswitheachscore

f4031677 Location:

Variable Format: character

Notes: UNF:6:azfyu1jVGJQue6tjRiGlFA==

B

f4031677 Location:

Variable Format: character

Notes: UNF:6:yHlL4bA5oj1a/AIDAsWegw==

C

f4031677 Location:

Variable Format: character

Notes: UNF:6:zC6o4YMU1pEBY7VAGIWZkw==

D

f4031677 Location:

Variable Format: character

Notes: UNF:6:g2fKU99tAFRRVdTan1DH3g==