Listening to Children in Dialogue. A Response to “‘State Your Defense!’ Children Negotiate Analytic Frames in the Context of Deliberative Dialogue”
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this appreciative response to Jennifer Hauver’s article about elementary children’s negotiation of analytic frames in deliberative dialogue during input into a school governance decision, Bickmore argues for the value of such agentic, citizenship-relevant learning opportunities in public schools. She points to their unfortunate infrequency (to the detriment of socially just democracy) in economically and racially marginalized communities. The concept of analytic frames is compared with the notion of interests—desires, needs, concerns, and ethical principles—underlying each party’s proposals in integrative negotiated conflict resolution theory. Questions are raised about the roles played by cultural context and status inequalities within dialogue groups. Bickmore concludes that both Hauver’s research methodology and her pedagogy of listening intently to children show enormous potential for enhancing transformative democratic education.
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.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it