Index
Bibliographic record
Abstract
152n17 Ackerman, Elise 182n39 acquisitions see mergers and acquisitions activity-based costing 297, 312n1 actual networks 215, 219, 223 Adams, Henry Carter 22n1 Addystone Pipe and Steel 182n56 advertising 79, 125n7, 152n23, 152n30, 173, 252, 275n2, 299 competition by 111-12 by lawyers 186, 187, 193n38, 94n42 restrictions on 186, 187, 189, 193n38, 194n42, 195n67 withholding of 186-7 advertising expenses 252 Aetna Inc. 173, 181n28 aftermarket monopolies 8, 9-10, 1, 141-2 aftermarket prices 7-14, 28n59 agency agreements 38-9, 64, 284 see also contractual relationships; exclusive dealing contracts; selling choices aggressive firms see maverick firms agriculture 176, 177, 178 Air Passenger Computer Reservation System 207 airline industry 165, 206
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.623 | 0.453 |
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".