review of arie kizel’s enabling students’ voices and identities: philosophical inquiry in a time of discord
Bibliographic record
Abstract
There is no doubt that we are living in a time of extraordinarily discord that seems atypical to recent contemporary life.It is for that reason that, without hesitation, I wholeheartedly recommend that Arie Kizel's book (2024), Enabling Students' Voices and Identities: Philosophical Inquiry in a Time of Discord, be embraced by all educators.The central argument that makes this book unique is that educators are ethically required to create a dialogical space in the classroom with the view to legitimizing multiple personal narratives thereby allowing children and teachers/practitioners to engage in self-construction and the broadening of existing identity/narrative constructions and boundaries.Though "narrative" has become a common theoretical reference, the suggestion that educators ensure that students' personal narratives have a prominent place on the educational agenda, despite the mainstream educational framework that focuses on "educational advancement," "striving for excellence," and "learning achievements as the basis for a better future," is quite revolutionary.And though the author sometimes seems primarily focused on the negative impact that the typical sterile and de-differentiating academic environment has on students from marginalized communities, it is clear that a homogenizing and irrelevant educational experience that typifies the learning environment of elementary, secondary and post-secondary classrooms does a dis-service to all students.Kizel's radical suggestion is that we actively invite young people into the classroom as they are, that is, how they define themselves through their own personal narratives, and 1 E-mail:
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.
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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".