Bibliographic record
Abstract
“Christ Would Break Your Tongue” is part of my on-going exploration of growing up as a United Church minister’s daughter in small-town Ontario. In the title poem, I inquire into the interstices of gender, voice, and authority. In “Dominion” I grapple with how the Christian underpinnings of Western culture place humans above other creatures and lifeforms to the detriment of all living beings. In “Billy Stewart’s Geography” I begin to explore the church’s role in political oppression, colonialism, and residential schools, building on my poetic interests in family dynamics and place (Stewart, 2003; 2012). I use poetic inquiry (Butler-Kisber, Guiney Yallop, Stewart, & Wiebe, 2017; Faulkner, 2009; Galvin & Prendergast, 2016; Prendergast, Leggo, & Sameshima, 2009; Thomas, Cole, & Stewart, 2012) as a research method to reflect on and through language, letting the poems be the plumb-line of the research process. Poetry’s use of the associative, the particular, and the unconscious allow me to explore terrain which may have been previously un-worded. This is needed to write through shame and grief. I believe with Orr (2002) that “the more of our own stories that we can tell, the richer and more complex our selves become. The richer a use we make of our past experience, the more open we are to present experience” (p. 102). This openness is crucial in the search for word and action. Educator Maxine Greene (1977) calls us to be open or “awake.” How can poets be awake to this complex social/political moment and use their craft to speak? Poetry works with stories and lyric which are once personal, ideological and often shaped by religion. As a white settler Canadian, I strive to uncover the complicity of my religious and Northern Irish background in hierarchical and oppressive relations. My hope is to provoke.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.018 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.040 | 0.011 |
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 source (direct Gemma or distilled Codex), 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".