Pedagogical Narrations’ Potentiality as a Methodology for Child Studies Research
Bibliographic record
Abstract
This article offers an extension to the use of pedagogical narrations by con-sidering it as a methodology for post-foundational child studies research. The author contends that pedagogical narrations have evolved into a methodological approach that is able to attend to the complexity and plural-ity of childhood. The article begins with a brief review of the evolution of child studies and some of the legacies of modernism that continue to impact childhood research today. This is fol-lowed by an overview of how the process of pedagogical narrations has served to resist particular modernist assumptions. It concludes with an exploration of how this process holds the potential to blur the boundaries between such dichotomous binaries as child/adult, theory/practice and mat-ter/discourse and open up spaces and dialogue for an ethical approach to childhood research.
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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 | 0.039 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.040 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".