Existing semantic knowledge provides a schematic scaffold for inference in early cognitive decline, but not in amnestic MCI
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
Healthy older adults show impaired relational learning, but improved transitive expression when inferences are made across pre-experimentally known premise relations. Here, we used the transitivity paradigm to ask whether the organizational structure within schemas facilitates the bridging of relations for novel inference for otherwise healthy older adults who are exhibiting early signs of cognitive decline ("at-risk" older adults), and individuals with single- or multiple-domain amnestic mild cognitive impairment (aMCI). Relational learning was impaired in the two older adult groups, but transitive expression was facilitated by prior semantic knowledge of relations. Prior semantic knowledge did not improve novel inference for aMCI individuals. Schematic scaffolding can successfully support inference in preclinical cognitive decline, but such cognitive support may no longer be useful later in the disease process when dysfunction in neural circuitry may be too severe. The findings encourage future work of semantic knowledge and inference in larger samples of aMCI cases.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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