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Record W7155082599 · doi:10.59236/ijea12n4

Portraiture as Pedagogy

2011· article· W7155082599 on OpenAlexaff
Rubén Gaztambide-Fernández, Katie Cairns, Yuko Kawashima, Lydia Menna, Elena VanderDussen

Bibliographic record

VenueInternational journal of education and the arts · 2011
Typearticle
Language
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsQualitative researchNegotiationField (mathematics)Graduate studentsProfessional boundariesProcess (computing)Participant observationEducational research

Abstract

fetched live from OpenAlex

In this reflective essay, five members of a research team involving graduate students and a faculty member offer individual "studies" of specific moments in the field in which lessons about methodology, the research context, and the researcher herself/himself crystallized. The article highlights the pedagogical possibilities of portraiture for introducing graduate students to qualitative research methodology. Each "study" illuminates how different kinds of boundaries are negotiated: whether it is the boundaries of access to a research site; the boundaries of personal or professional recognition; the boundaries of the body and physical space; the boundaries of racial identification; or the boundaries of the interior and exterior selves. These are not lessons that can be taught/learned within the constraints of a classroom, whether a lecture hall or the most progressive seminar. It is in the actual experience of negotiating these boundaries that the intricacies of the research process manifest, and in the process, the inquiry itself grows and moves through the necessary explorations that are the heart of qualitative research.

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)0.008
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.839
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.214
GPT teacher head0.579
Teacher spread0.365 · 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 designTheoretical or conceptual
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

Citations0
Published2011
Admission routes1
Has abstractyes

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