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Record W4385249468 · doi:10.1177/21677026231156545

The Next Generation of Clinical-Psychological Science: Moving Toward Anti-Racism

2023· article· en· W4385249468 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClinical Psychological Science · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsRacismPraxisPsychological scienceField (mathematics)PsychologySociologyEpistemologySocial psychologyGender studies

Abstract

fetched live from OpenAlex

The field of clinical-psychological science exists in a broader field of psychology that is increasingly acknowledged as embedded in racist and white-supremacist history. In the production of clinical-psychological science, the clinical science model predominates as one of the most influential scientific voices that emphasizes the value of rigorous scientific theory, training, and praxis. We highlight some of the ways in which the clinical science model has neglected anti-racism. By examining the idiosyncratic development of the clinical science model in clinical-psychological science, we outline how its failure to contend with systemic racism in the field propagates a racist subdiscipline. Our hope is that by enacting difficult self-reflection, we invite other stakeholders in our field to think more critically about how systemic racism and white supremacy pervade our structures and institutions and to begin making more concrete changes that move the clinical-psychological-science field toward explicit anti-racism.

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.

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)0.081
metaresearch head score (Gemma)0.063
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.848
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0810.063
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.008
Science and technology studies0.0050.039
Scholarly communication0.0010.001
Open science0.0050.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.728
GPT teacher head0.655
Teacher spread0.072 · 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