Bibliographic record
Abstract
absentee tax, 274, 276 accountability as bearer of moral value, 264, 281 of chiefs, 83 imposition on First Nations people, 246, 248, 250, 252 public sector, 23, 76 and relatedness, 338 state-society, 326 accountancy everyday, 68 self, 63 Alianza País, 136, 138, 141, 146, 149, 151 Allingham, Michael G., 184, 191 Alto San Roque, 101-104 Amazon, 343-344 Anderson, Benedict, 50, 51, 53, 61, 223 anthropology and decentralisation of the state in study of taxation, 326-327 of documents, 12, 63, 183 and ecology, 96 economic, 3 fiscal, 11, 76, 78 and informal economies, 107 and neglect of taxation, 2-4 promise of for tax study, 35-37 of sharing, 328, 331, 333 of the state, 284 of systems, 2 and tax studies, 347-349 and territoriality of tax, 319 Antigua & Barbuda, 312 arbetslinjen (work approach), 186 Arce, Luis, 99 Argentina, ethical tax evasion in, 21 Assembly of First Nations (AFN), 246 assimilation and fiscal citizenship, 255 and taxation, 244, 247 Association for the Taxation of Financial Transactions and Aid to Citizens (ATTAC), 8 Atuguba, Raymond, 82-83 audit control, 188 audit culture, 63, 156, 158, 159, 160, 171, 249 audits citizen driven, 166 and Danish Tax Authority, 287-288 and FNFTA, 245-246 and politics of choice, 18 receipt, 162, 164 and self governing, 34 and state distrust, 168 and tax compliance, 189, 291-293, 295-296 and taxpayer as subject, 254 and taxpayer ethos, 240 Australia tax residency disputes in, 309-310 tax residency requirements in, 306-307 Australian Center for Tax System Integrity, 287 Australian Tax Office (ATO), 306-307, 310 Austria, 125, 317
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.776 | 0.630 |
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".