Bibliographic record
Abstract
administrative incentive pricing (AIP) 217, 218 air-conditioner cycling programmes 110 airwave access 50 Alaska, gas exports to US 99 alternating current (AC) networks 90 analogue spectrum rights 216 Anderson, Terry 44 anti-competitive hoarding 218 Argentina, user-pays transmission arrangements 24-6 Asset Pricing (Cochrane) 195-6 AT&T Wireless 55 auctions electricity markets 20-21 spectrum 40, 217 Australia, electricity markets 16, 18, 23-4 barbed wireless hypothesis 44, 54 Barcelona European Council 79 barriers to competition 42, 209 BBC (British Broadcasting Corporation) 213, 214 Beesley, Michael 205 Belgium, postal sector 121, 132, 154 Benckler, Yochai 43 BETTA (British Electricity Trading and Transmission Arrangements) 91 Better Regulation Task Force (BRTF) 171-2 blackouts 83, 85, 90-91, 118 bottlenecks 208-10, 211, 221, 222, 224 Brazil, electricity crisis 84-5 British Airports Authority 200 British Electricity Trading and Transmission Arrangements (BETTA) 91 British Gas 31 British Telecommunications plc (BT) 199, 208-9, 210-11, 222 broadband networks 54, 222, 224 broadcasting, strategic approach to regulation 212-16, 224 benefits of 213-14 competition in 212, 213 digital 215-16 relevance of failure 215 BT (British Telecommunications plc) 199, 208-9, 210-11, 222 Buenos Aires 25 bulk mail 121, 164 cable 208, 212, 213, 221, 222, 227 California, electricity markets 21, 32, 84, 106 Canada electricity crisis, Ontario 84-5 electricity markets 14, 18, 100 capital asset pricing model (CAPM) 192-3, 195, 196-8 capital, cost of 190 capital asset pricing model 192-3, 195, 196-7 debt overhang 191, 194 different costs for different parts of the business 198-200 estimation, proposal for conflict reduction 200 financeability 192, 193, 194-5 leverage 189-92 other models 195-8 three-factor model 195-8, 200 CBS (Columbia Broadcasting System) 42, 57 CCGT (combined-cycle gas turbine) technology 101, 110, 111 CDMA (code division multiple access) networks 41, 47, 48, 51 CEER (Council for European Energy Regulators) 69-70 cellular markets 49, 50
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 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 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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 teacher head, 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".