Bibliographic record
Abstract
Does intelligence entail that we will move forward, that we will progress as individuals and as a society? In his essay, “Intelligence for More than One,” Carl Anders Safstrom gives an important account of intelligence as a democratic idea that has relevance for how we think about intelligence in education today. Something of concern in Safstrom’s account, however, is the argument that John Dewey’s method of intelligence is a means by which we progress toward democratic ideals such as equality and justice. Underlying his argument, as I see it, seems to be the connection between three ideas: “intelligence,” “control,” and “the new.” Specifically, Safstrom explains in various ways that the method of intelligence is a means by which we gain control over our future. He implies further that on account of that control we create the new, that is, create equality and justice insofar as these things are not present in society.
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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.015 | 0.080 |
| Scholarly communication | 0.014 | 0.024 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.008 | 0.016 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".