Psychological Sketches (Fifth Edition)
Bibliographic record
Abstract
plac enta, 101 Planc k, Max, 23 play, 119 Playboy, 215 Prec n Procb) and Equipment, 209 pregnanc y, 101 primatec ommunic ation, 147 priming, 175 Prin c Edward Island, 230 prototype, 14 proximate explanation, 52 psyc hedelic , 234 psyc hiatrists, 97 Psyc hologic alLaw,35 psyc hology professors, 221 psyc hopathology, 80 psyc hotherapy, 98 puberty, 101 Public Library, 99 Quebec 230 Queen, 218 radar, 128 Reber, Arthur, 224 recfl tive sites, 132 rec iproc al altruism, 160, 162 Red Menac3 98 relapse, 98 Reno, Nevada, 220 replic ation, 26 repression, 210 reproduc tive suc c ess, 155, 188 retina, 129 retrograde amnesia, 174 right hemisphere, 95 risk, 99 salmon migration, 24 satanic messages, 208 sc hedules of reinforc' ent, 63 sc hizophrenia, 97 sc ientific law, 33 Sc oville, W., 173 seaweed, 229 selec tive attention, 214 sensation, 103 sentient mac hines, 211 sex, 197 sex di#eren cen 51 sexual behaviour, 93 sexualc oerc ion, 192 Sherif, 105 signal averaging, 177 Sisters of Mankato, 83 Six-
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.335 | 0.196 |
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".