Engaging in educational narrative inquiry: making visible alternative knowledge
Bibliographic record
Abstract
This Special Issue on Narrative Inquiry has its origins in a series of conferences convened by Dr Grace O’ Grady, Maynooth University, Dr Jacqueline O’ Toole, Institute of Technology, Sligo, and Dr Anne Byrne, National University of Ireland, Galway. All three had been engaged with narrative ideas in their respective research. Indeed many conversational spaces on narrative were already in place in Ireland i.e. the Centre for Transformative Narrative Inquiry, Maynooth University, and the Narrative Cluster, NUI, Galway, among others. We recognized, however, that a wider forum was needed to discuss, debate and disseminate narrative studies in a broader context, hence was born the Irish International Narrative Inquiry Conferences. The first conference took place in IT Sligo in 2014 and in subsequent years moved to Maynooth University and NUI Galway. What was immediately in evidence was the thirst for these conferences. In addition to the huge output of narrative inquiry studies across the island of Ireland, internationally renowned scholars including Professors Maria Tamboukou, Ann Phoenix and one of the editors of this Special Issue, D. Jean Clandinin, delivered keynote addresses at the conferences. The conference series continues to offer an incredible learning space to share and learn about narrative inquiry.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".