Bibliographic record
Abstract
The creation and spread of knowledge has always redefined the possibilities of the human experience.Among all the inventions of humans-water treatment, bows and arrows, space travel-formal education is, perhaps, the most powerful.Whether in the form of trade apprenticeships, religious schools, or modern universities, education is the principal way in which we pass skills and knowledge from one person, and even one generation, to another.At the heart of education lies an inquiry and understanding of how it is that we come to know.In modern times this includes the development and application of the scientific method, which has become vital to the creation and dissemination of knowledge.As education becomes more accessible, affordable, and flexible, knowledge and skills act, increasingly, as tools for the empowerment for the world's poor.In fact, studies point to education as being associated with better health, improved well-being, and increased economic empowerment.1 This notion that education can unlock a person's potential is relatively noncontroversial.More controversial is the related notion that education should be made available to all.Indeed, despite the fact that it is specifically mentioned in Article 26 of the United Nations Universal Declaration of Human rights, 2 this 'education as a fundamental human right' idea is a relatively recent phenomenon.Historically, learning was an activity reserved for privileged citizens: the priestly class, the wealthy, men.In The Theory of the Leisure Class, Veblen
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.329 | 0.202 |
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".