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Record W4387338618 · doi:10.26522/ssj.v17i3.4371

Undoing Privilege: Unearned Advantage and Systematic Injustice in an Unequal World (Book Review)

2023· article· en· W4387338618 on OpenAlexaffvenue
Caitlin Feeley

Bibliographic record

VenueStudies in Social Justice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicFeminist Theory and Gender Studies
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsUndoingPrivilege (computing)InjusticeLaw and economicsSociologyPolitical scienceLawEconomicsPsychologyPsychoanalysis

Abstract

fetched live from OpenAlex

Social justice studies and activism are often focused on the role of oppressed groups in challenging their oppression, while privileged groups and their responsibility in reproducing inequality tends to be overlooked.In Undoing Privilege, Pease centres the narrative around the operation of privilege to raise attention to its pervasive and unchallenged nature.The book is intended for readers who possess some form of privileged identity and who are willing to grapple with the impacts of their unearned advantages on the lives of others.The book interrogates the contradictions associated with privilege, which include the complexity of privileged people participating in struggles for social justice, as well as the author's positionality as a white, heterosexual, cisgender, able-bodied man writing a book about privilege.Pease identifies a gap in discourses about privilege in popular culture and activism, where analyses tend to focus on privilege at the individual level and neglect its structural and systemic dimensions.He also identifies a gap in academia, where studies are mostly focused on oppression or on the privilege of the elite.The book aims to address this gap by offering a nuanced analysis of privilege that examines how it operates at the individual, cultural, and structural levels.The central claim of Undoing Privilege is that unearned privilege operates to maintain inequality and oppress people who are unable to access it.Pease suggests that the inequality produced by privilege is often implicit because privilege tends to be invisible to people who possess it,

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)0.004
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.790
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.103
GPT teacher head0.460
Teacher spread0.357 · 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 designQualitative
Domainnot available
GenreReview

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
Published2023
Admission routes2
Has abstractyes

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