Bibliographic record
Abstract
abbreviations used in the index: bdL -backdoor listing Lbo -leveraged buyout M&as -mergers and acquisitions Pe -private equity RLbo -reverse leveraged buyout seo -seasoned equity offering Vc -venture capital abnormal returns around lockup expiry 278-81 measurement 282-3, 303 see also bHaR (buy-and-hold abnormal returns) abukari, k. 300 acharya, V. 554 acquisition of entrepreneurial firms 186-9 acquisitions by IPos 347-72 likelihood 358-63 and performance 364-71 statistics 352-8 acs, Z.J. 180 adverse selection 183-4 age of firm and IPo performance 438-40, 451 aggarwal, R. 210, 259, 333 aghion, P. 196 aIM (alternative Investment Market) 25, 237-52 alberta stock exchange 127 alexander, G. 547 allen, f. 103, 119, 421, 437 almeida, H. 330 alternative Investment Market (aIM) 25, 237-52 alti, a. 77, 85, 87, 96, 379, 384 amihud, Y. 60, 332 analyst coverage, and IPo performance 257-73 analyst recommendations and IPo duration 169-72 ang, J. 59 angel, J. 103, 104, 106 anti-director Rights Index (aRI) 143, 144, 536, 541-3, 545 appadu, n. 299 asset market value 112 auctions 209-10 audretsch, d.b. 180, 183, 186, 192, 193 berle, a.a.179 bertoni, f. 210-11, 216 bertrand, M. 330-31 bessler, W. 299, 300, 321, 351, 371, 421, 422, 428, 437, 444 beuselinck,hold abnormal returns) 260-61, 303, 305-6, 313 following corporate activities 364-71 German IPos 432 orphan and non-orphan IPos 262-72 bHR (buy-and-hold returns) 305, 307-8, 313 bhushan, R. 259 billett, M.T. 351, 372 birley, s. 190 bishop, k. 405 bittelmeyer, c. 299 björnali, e. 193 black, b.s.59, 197 blass, a. 533, 543 block, J. 496 boards of directors 191-3 boehmer, b. 210 boehmer, e. 534 boivie, s. 405 bolton, P. 196, 281 bonardo, d. 188, 198, 299 bonding hypothesis 532, 536, 545 book-building 209 and underpricing 332-3 and underwriter reputation 161-6 booth, J. 219 boreiko, d.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.673 | 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".