Bibliographic record
Abstract
Abstract In Canada, consulting with Indigenous communities over recourse projects, the Crown sometimes avoids critical engagement with them, holding to the same arguments and counterarguments through regulatory and hearing stages. Such hollow moves, produced under the Crown’s rules, become embedded in the dominant argumentative discourse and pass unnoticed. To detect them, I apply Argument Continuities ( ac s) – a new category of argumentative discourse analysis. ac s are a set of the same arguments and counterarguments repeatedly produced/reproduced by the dominant arguer through an adversarial reasoning process to dismiss opposing arguments. ac s have a specific life cycle – a chain of reasoning dynamics developing in a path-dependent fashion and increasing the cost of adopting a certain argument/counterargument over time. I test ac s in two institutionally diverse cases of Indigenous consultations and argue for the contingency of ac s upon the rules of consultations in reasoning exchanges. Determining the evidence availability and allocating the burdens of proof in consultations, rules make it more or less likely for a dominant arguer to rebut opposing arguments with ac s.
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 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) | 0.002 | 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".