Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Microeconomic Theory is based on lecture notes for a graduate course in microeconomic theory. It covers a broad range of topics, and to some extent the lecture structure is retained in the style of the book. The author provides a clear account of the main ideas in each area concisely, and in some depth of detail. The presentation is at an advanced level and provides succinct coverage of the material in a self contained discussion. Chapters are organized and written independently making it possible to read any chapter without having read earlier material. Each chaper is written on the presumption that the reader has some familiarity with the topics or issues under discussion but would value further discussion, or a second point of view . While much of the material is mainstream, a substantial portion is not available in existing textbooks. The book covers a range of topics appearing in advanced courses in microeconomic theory. Coverage includes such topics as decision theory, strategic and extensive form games, auctions, bargaining, information models, principal- agent problems, signalling and screening games, cooperative games and models of learning.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.023 |
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 it