Introduction: Thinking Ecocritical and Indigenous Terrains
Bibliographic record
Abstract
The essays in this roundtable emerged from a panel we organized at the annual meeting of the Middle East Studies Association that took place in Montreal in 2023. With a focus on “ecocritical terrains,” the panel sought to rethink environments in the Middle East and Tamazgha (the broader North Africa) by paying attention to more-than-human ecologies. We use “Tamazgha” to acknowledge the reimagination by the Imazighen, the Indigenous people of North Africa, of the geography of their ancestral homeland, which encompasses the expansive space extending between the Canary Islands and west Egypt, from the Mediterranean Sea to sub-Saharan Africa. 1 This remapping of the territory offers tremendous environmental and ecocritical opportunities that current methods of knowledge production about the region have not permitted to emerge or become part of academic conversations.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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 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".