Bibliographic record
Abstract
schools, 22-23 Agentic perspective, 157 Agreeableness, 44, 47 Airbrushing, 178 Alhurra, 62 AllCrypt, 227 Alphabet (Google), 120 Alternative facts, 4, 115-116 Amazon, 78, 235 American Civil War, 192-193 American Library Association, 31-32 Anchoring of data, 260 Anesthetics, 199 Annotations, 148 Anti-foundationalism, 25 Anti-potterites, 83 Apple, 120 Applied research, 217 Apprenticeship, 209 Arab Journalism, 64-66 Arab Spring, 162 Arbitration Committee, 136 Arizona State University (ASU), 212 Artificial intelligence (AI), 30-31, 42-43, 48 Artificial superintelligence, 43 Attitudes, skills, and knowledge (ASK), 205 applied research and common good, 217 ASK-SkillsCredit badge, 209-210 ASK-SkillsCredit Dashboard, Blockchain, 225-226, 243-244, 248, 250 bitcoin, 225-226 carnival of incompetence, 226-227 distributed ledger technology, 225-228 economic ideas of Karl Marx, 228-229 labour vs. capital, 229-231 network, 259-260 nostalgia vs. future, 231-233 promise, 233-234 systems, 244, 247 technology, 255-256 as technology in digital economy, 234-237 terminology, 226 trust in blockchain as decentralised governance system, 250-251 truth, 243-246, 248 Blogs, 4 Bobble service, 262 Bordeaux Declaration, 149 Brexit, 140 BTC, 227 California Consumer Privacy Act (CCPA), 89 Capital, 228-229, 231, 237-238 Career and student success, 216 Celebrity news, 127 Censorship, 29-30, 60 of information, 79-80 trials, 31 Centers for Disease Control and Prevention, 34 Centrality of digital media, 162 Chronicle of Higher Education, The, 34 Citizen journalism, 197-198 Civil societies, 167 Civility, 137-138 Clickbait, 142 CNN, 138-139 Code breaker, 86 Code of Principles, 82-83 Cognitive nihilism, 12 Cognitive skills, 44-45 Coherence, 12, 166 metaphysical supporters, 13 theory, 13 Colour-blind ideology, 24 Commercialization, 278 Commodity, 126 Common good, 217 Communication.See also Technology, 4, 157 politics and, 169 skills, 45-46 technologies, 57 Communications Decency Act, 5-6 Competency, 85-86 Compositing, 178 Compulsory schooling, 44-45 Computation, 246 Computer running software-based artificial general intelligence, 43 Conscientiousness, 44 Consensus mechanism, 259-260 Consensus truth, 140 Conspiracy theories, 34, 257 Contemporary news in MENA, 60-64 Content business model, 30-31 Content Identifier (CID), 213 Content moderation, 75, 79-81 Context of publication, 275 Context-bound definitions, 216 Convenience, 118 Convergence, 113 Copyright, 29-30 Coronavirus pandemic, 34 Correspondence, 12 Counterbalancing news sources and competing truths, 64-66 Counterhistory, 192 Counternarratives, 66
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.782 | 0.815 |
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".