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Record W4403554045 · doi:10.1177/00219347241292036

Using a Phenomenological and Fanon Analytic: A Methodological Framework and Method for Research with Impoverished Black Male Youth

2024· article· en· W4403554045 on OpenAlexaffabout
Warren Clarke

Bibliographic record

VenueJournal of Black Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPsychologySociologyInterpretative phenomenological analysisGender studiesBlack malePhenomenology (philosophy)Developmental psychologyEpistemologyQualitative researchSocial sciencePhilosophy

Abstract

fetched live from OpenAlex

While there is a good amount of general literature on the experiences of Black men in Canada, there is a paucity of empirical data regarding the specific lived experiences of first- and second-generation, Canadian-born, impoverished Black young men (ages 15–29). Black male youth are often impoverished due to anti-Black racism and classism, which together further social and economic barriers. While many methods of data collection and analysis provide a useful snapshot of the experiences of young Black men, many traditional methods are unable to highlight the nuance that lies in complex intersections of identity for Black young men experiencing poverty and un(der)employment. This article demonstrates the success of practices rooted in phenomenology to understand and articulate the unique, heterogeneous lived experiences of first- and second-generation impoverished Black young men who utilize youth employment training programs in three Canadian cities. Further, this article demonstrates how using Frantz Fanon’s scholarly work and applied phenomenology can inform future research on Black and other underserved youth who face complex marginalization.

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)0.007
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.511

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.641
GPT teacher head0.596
Teacher spread0.045 · 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
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

Citations1
Published2024
Admission routes2
Has abstractyes

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