Bibliographic record
Abstract
This essay is voiced by “IZ,” a character personifying the evolving field of “Native American” or “Indigenous” studies in the United States. IZ was introduced to readers in Aileen Moreton-Robinson’s edited volume Critical Indigenous Studies: Engagements in First World Locations 2016, in which Moreton-Robinson wrote: “Twenty years into this century, Indigenous-centered approaches to knowledge production are thriving” and our “object of study is colonizing power in its multiple forms, whether the gaze is on Indigenous issues or on Western knowledge production.” Today, “critical Indigenous studies” represents a coming together of multiple national engagements by Indigenous scholars and sovereignty movements with universities around the world. In this essay, IZ’s object of study and critical polydisciplinamorous Indigenous engagement is a scientist searching for signs of “intelligent” life off-Earth.
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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.035 | 0.051 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.001 | 0.017 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 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".