Bibliographic record
Abstract
Vox Populi?The ancient Greeks had a process called ostracism whereby individuals could be banished from society for a period of time.Although specific accounts differ, the process was one whereby individuals could, after preliminary procedures were followed, inscribe the name of the person they wished to ostracize onto a potsherd.These were deposited in an urn located in the agora, and if there were 6,000 or more potsherds, or ostraka, with the same name inscribed, that individual would be exiled (Pollux, 1706).The process was considered anonymous and somewhat democratic.It could be contended that by the means of ostracism, citizens were held accountable for their actions by the people.Moreover, it could also be contended that the voice of the people was exercised through the process of ostracism.For several years now educators have been the subjects of accountability (Reeves, 2002).Essentially, accountability embodies the notion that what we do, and how we do it, must be continually scrutinized by individuals and agencies both within and from outside education.In this way the consumers of education can be assured that what they are receiving is both appropriate and up to date.At least this is how it is supposed to work in theory.A part of accountability, at most universities and colleges at least, is the formal student
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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 | 0.008 | 0.038 |
| Meta-epidemiology (narrow) | 0.005 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.026 | 0.020 |
| Insufficient payload (model declined to judge) | 0.021 | 0.013 |
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".