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Record W3045223394 · doi:10.1177/0959353520941350

Islamic anti-patriarchal liberation psychology: A framework to decolonize psychology for Muslims

2020· article· en· W3045223394 on OpenAlex
Sobia Ali-Faisal

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

VenueFeminism & Psychology · 2020
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsIslamScholarshipSociologyGender studiesDecolonizationPsychologySocial psychologyEpistemologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Due to the focus in psychology on Euro-American centric ontologies and epistemologies, many non-European psychologists have been calling for the decolonization of the field. In joining this call, I propose an Islamic anti-patriarchal liberation psychology framework to guide psychological knowledge production and application within contexts in which some or most people identify as Muslim. Using Martín-Baró’s proposal of three essential tasks of liberation psychology as a guide, my framework explains how and why it is necessary to decolonize psychological knowledge production and application in such contexts. The first task requires the privileging of Muslim voices, with Muslims being conceptualized as diverse, racialized peoples. The second task involves challenging the internalization of colonial ways of thinking among Muslims. The final task asks researchers and practitioners to recover Islamic histories of scholarship, Muslims’ sense of community, and queer and feminine ways of being. Together, these tasks can provide an adaptable guide for psychological knowledge production and application for Muslims in a wide variety of contexts.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.194
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.003

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 head0.199
GPT teacher head0.558
Teacher spread0.359 · 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