Developing a Pedagogy of Listening: Experiences in an Indigenous Preschool (Dispatch)
Bibliographic record
Abstract
In the Footsteps of Jackie Kirk I was honoured to receive The Jackie Kirk Fieldwork Fellowship Award in 2010 in the course of my doctoral research.Kirk's scholarship has impacted and motivated me in my research and teaching.I am inspired by her activism and commitment to the improvement of education for communities in conflict (Kirk, 2007).Her creative practices in participatory visual research methodologies (Kirk & Winthrop, 2008) encouraged me to take on challenges when facing the unknown.I have attended mindfully to her charge, to engage in the process of reflexivity (Kirk, 2004) in my research and in my teaching.Jackie exuded commitment to quality and meaningful education, probing into conundrums of the marginalized (Kirk & Winthrop, 2007) and bestowing messages that spoke to the world.I have prepared this dispatch to illustrate how Kirk's legacy has resounded and will continue to resonate into the future.My story, therefore, shadows the footsteps of an honourable and notable scholar, taken much too soon.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".