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Record W2059360085 · doi:10.1177/1077800413513735

A Slice of Diversity

2014· article· en· W2059360085 on OpenAlexaff
Akin Taiwo

Bibliographic record

VenueQualitative Inquiry · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPoetrySociologyEmbodied cognitionReflexivityEthnographyPrivilege (computing)Representation (politics)Diversity (politics)Perspective (graphical)AutoethnographySpace (punctuation)Identity (music)Emic and eticAestheticsGender studiesEpistemologyLiteratureAnthropologyLinguisticsVisual artsArtPhilosophyPoliticsComputer science

Abstract

fetched live from OpenAlex

Among the uses of poetry in qualitative inquiry is its ability to help us reflect on, play against, or perform a topic of interest (Prendergast, 2006). This writer attended a conference on the “Pedagogy of Privilege” and immersed himself in the discussion of multidimensional diversities, hence the production of this poem. Written from an etic perspective, this ethnographic poem is not a representation of ethnographic reality (Denzin, 1997; Maynard & Cahnmann-Taylor, 2010), but an abstraction of composite identities. This poem interrogates categories of sexual and gender identities, acknowledges multiple emotions, embodied experiences, and space; with an invitation for others to integrate their own voices and experiences. This poem is a form of writer’s reflexivity. Pedagogically, this poem could help students of social work and other helping professions to grapple with the complexity and fluidity of gender and sexual identities and the definition of family.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0140.056
Scholarly communication0.0150.030
Open science0.0010.019
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0110.001

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 head0.580
GPT teacher head0.629
Teacher spread0.048 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
DomainMethods
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

Citations2
Published2014
Admission routes1
Has abstractyes

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