Rhizomic Thinking: Towards a New Consideration of Social Studies Practice
Bibliographic record
Abstract
Social studies teachers engage a vast subject area within which they can enlist a wide scope of possible curriculum and pedagogy choices. Despite the opportunity to engage students with an abundance of potentially fruitful themes, topics, and ideas, social studies teaching can be captured by the need to cover specific content in particular ways. Philosophers Gilles Deleuze and Felix Guattari (1983), in Anti-Oedipus: Capitalism and Schizophrenia, would connect such an agenda to the capitalistic machine that shrinks potential sources into what Foucault (1980) sees as tendencies to seek control rather than the openness of becoming. We contend that Deleuze and Guattari’s concept of the rhizome opens new lines of flight in social studies curricula and works to revolutionize social studies as a subject area that often has been over-standardized and taught as one-size-fits-all. We also contend that rhizomic thinking can renew how students see the world and transform how they interpret events, epochs, eras, and cultures by drawing from rhizomic research’s bamboo-like qualities.
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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 | 0.015 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.007 | 0.093 |
| Scholarly communication | 0.018 | 0.028 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.005 | 0.009 |
| 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".