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Record W7113131746

The Long Arc of a Nation: Memory Politics in Canada and the United States

2024· article· en· W7113131746 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Access to Scholarship at Harvard (DASH) (Harvard University) · 2024
Typearticle
Languageen
FieldPsychology
TopicMemory, Trauma, and Commemoration
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsExceptionalismAmerican exceptionalismNewspaperColonialismRacismNarrativePolitics of memoryContent analysis
DOInot available

Abstract

fetched live from OpenAlex

In Canada and the United States, there are ongoing debates about how the nation’s history should be remembered, including what should be included or excluded from educational curricula and which historical figures are worthy or unworthy of being honored with statues or memorials. Many of these memory politics disputes have focused on the legacies of racism and colonialism in the two countries, a trend which coheres with the proliferation of race, ethnicity, and indigeneity as topics in the public discourse. In this dissertation, I examine the dynamics of memory politics through a comparative analysis of the two countries, specifically focusing on four metropolitan areas: Boston, Minneapolis, Toronto, and Vancouver. I began with a content analysis of 165 newspaper articles published in major outlets that addressed topics related to the history of race, ethnicity, and indigeneity. I use the content analysis to identify salient themes of memory politics disputes in each context, including which aspects of national history are most frequently contested, the cultural repertoires employed during these disputes, and which ethnoracial groups are most frequently invoked during these discussions. To ensure the interviews spoke to the issues and concerns that were most likely to be relevant to the interviewees in each context, I also used this analysis to develop vignettes and refine the questions included on the interview guide. I organize my findings into three empirical chapters. The first empirical chapter examines how recent events have prompted many Canadians and Americans to reconsider taken-for-granted narratives about national exceptionalism that are linked to the belief that the nation has achieved racial equality. The second empirical chapter focuses on the perceived stakes of memory politics disputes. Drawing on the concept of recognition, I find that interviewees are seeking recognition through historical representations. I identify four dimensions of the struggle for recognition in memory politics disputes: visibility, significance, adversity, and contributions. In the third empirical chapter, I describe how white interviewees in Canada and the United States perceive their personal status and the collective status of white people as a group in the context of memory politics disputes. Consistent with prior research on the racial attitudes of white people, I find that some interviewees downplay or dismiss the impact of historical racism on present-day inequalities and oppose any additional programs for redressing racial inequality. However, some white interviewees emphasized that racism and colonialism are directly connected to present-day inequalities and emphasized the need for more racial justice initiatives, a perspective that would undermine their privileged status in society. I find that those in the latter group do not feel a sense of racialized group status threat and employ the concept of linked fates to explore why this might be.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.643
Threshold uncertainty score0.874

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.262
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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