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Record W4281484086 · doi:10.3390/socsci11050226

“There’s Something Very Wrong with the System in This Country”: Multiracial Organizations and Their Responses to Racial Marginalization

2022· article· en· W4281484086 on OpenAlexaboutno aff
Jenifer L. Bratter, Allan Farrell, Sharan Kaur Mehta, Raul S. Casarez, Xiaorui Zhang, Michael Carroll

Bibliographic record

VenueSocial Sciences · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsnot available
Fundersnot available
KeywordsInvisibilityRace (biology)Political sciencePsychosocialGender studiesCriminologySociologyPsychology

Abstract

fetched live from OpenAlex

Multiracial organizing since the 1980s has centered around the need to define and make visible the term multiracial (e.g., U.S. Census). In the contemporary era when multiple race populations are a growing and institutionally recognized demographic, how do multiracial organizations characterize and seek to combat collective experiences of racial marginalization? Here, we draw on in-depth interviews with officers from diverse multiracial organizations in the U.S. and Canada (N = 19) collected from 2017 through 2018 to examine this question. The findings revealed that multiracial individuals experience distinct forms of exclusion, which we call categorical invisibility, that target individuals who do not “fit” into established monoracial categories, and mixture as pathology, a less common frame but representing more overt forms of bias targeting those of mixed backgrounds. The lived impacts of these experiences prompt the expressed need for “safe” spaces from the psychosocial costs of categorical invisibility. Multiracial organizations, located mostly in the United States with one in Canada, engage in diverse community building and advocacy efforts to address these needs and, thus, represent critical sites of resistance to the trauma of racial (in)visibility. This work amplifies the need to center Critical Multiracial Theory to expose how monoracial paradigms as a central feature of White supremacy continue to shape the lives of multiracial people and expand our knowledge on how multiracial organizations shape the (re)negotiation of racial categories that challenge the racial status quo.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.004
Science and technology studies0.0110.001
Scholarly communication0.0000.000
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 head0.036
GPT teacher head0.348
Teacher spread0.311 · 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.

Study designQualitative
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

Citations3
Published2022
Admission routes1
Has abstractyes

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