Kognitivnye korrelyaty raspoznavaniya obmana v pozhilom i starcheskom vozraste
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Aktual'nost' predlagaemogo issledovaniya obuslovlena neobhodimost'yu poiska putej snizheniya uyazvimosti lic pozhilogo i starcheskogo vozrasta k obmanu i moshennicheskim dejstviyam. Cel'yu issledovaniya bylo ocenit' kognitivnye korrelyaty raspoznavaniya obmana v pozhilom i starcheskom vozraste. Ob"em vyborki sostavil 87 ispytuemyh pozhilogo i starcheskogo vozrasta (60–89 let) — 38 muzhchin i 49 zhenshchin. Ispol'zovali metodiku MoCA (Montreal Cognitive Assessment); test Salli–Enn; Pragmatic intervention short stories Winner’s Task; eksperimental'nuyu metodiku Read the Mind in the eye (RMET); shkalu samoocenki Dembo–Rubinshtejn; shkalu samoocenki doveriya. Na osnovanii poluchennyh rezul'tatov issledovaniya vyyavleny kognitivnye korrelyaty raspoznavaniya obmana v pozhilom i starcheskom vozraste. Dostoverno ustanovleno, chto s vozrastom, po mere stareniya vne zavisimosti ot urovnya obrazovaniya proiskhodit snizhenie kognitivnogo urovnya, chto, v celom, yavlyaetsya zakonomernym v processe normativnogo stareniya. Eti izmeneniya privodyat k snizheniyu urovnya ponimaniya modeli psihicheskogo, chto, v svoyu ochered', zatrudnyaet raspoznavanie emocij i povyshaet uroven' doveriya. Empiricheskoe issledovanie podtverdilo gipotezu o nalichii korrelyacii mezhdu kognitivnym urovnem i sposobnost'yu raspoznavat' obman. CHem nizhe obshchij kognitivnyj uroven', tem huzhe raspoznaetsya obman i tem bolee doverchivym stanovitsya chelovek.
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.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.012 |
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 it