Bibliographic record
Abstract
This article is written as a confessional tale of the authors’ experience of conducting a métissage research process on inclusive classrooms within a course as part of a graduate program. Amanda, the lead author, is a queer elementary school teacher, researching the 2SLGBTQIA+ community within local classrooms and schools, and the Tim is their instructor in a research methods course. Together, we worked to explore the métissage methodology through a confessional tale to unpack the process and to frame the performance piece shared as an anonymously read métissage based on three participants’ voices: (a) a teacher and parent of a child with a disability, (b) an Indigenous teacher and (c) the lead author’s voice as a queer teacher. As Kluge (2001) explained, confessional tales represent the researcher’s personal account through the reflexive process that they experienced in the beginning, during, and at the end of the research process. Confessional tale is the postscript that follows the research progression in a highly personal diary-like format (Van Maanen, 1988). A métissage is an arts-based research methodology where a series of narrative writings by single authors are woven together to create a larger, thematic text, with the intent of “transformation from the inside out” (Worley, 2006, p. 518). In this article, therefore, we offer insights from Amanda's reflective comments, with their critical friend Tim (course instructor), on both the métissage process and their commitment to use research to create safer spaces for all through promoting participatory lived experience insights on inclusivity. Keywords: confessional, métissage, inclusion, queer, LGBTQ, Indigenous, disability, performance, participatory
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".