UNA REVISIÓN DE LOS FACTORES QUE CONTRIBUYEN A LA DEPRESIÓN EN LOS ÚLTIMOS AÑOS DE VIDA
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
Literature provides a wide variety of information about food intake, physical illness, and psychological disorders among the aging population.Late-onset of depression is one of the most common mental health problems in adults aged 60 or older.The primary purpose of this paper is to investigate the relationship between late-life depression and nutrition intake among older adults.Secondly, literature has indicated that late-life depression is influenced by genetic, situational, illness-related biological and psycho-social factors.However, late-life depression, relative to earlyonset depression, appears to be less influenced by genetics and more influenced by environmental factors.Psychological models postulate that late-life depression arises from the loss of self-esteem, loss of meaningful roles, loss of significant others, decline of social contacts, reduction of physical ability, financial difficulties and decline in coping skills.For these reasons, the contributing social, physical and psychological factors are briefly investigated in relation to nutritional aspects.Therefore, the scope of this paper will examine the social, physical, and psychological issues that directly or indirectly affect food intake and consequently depression in the elderly population.Key words: Late-
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.023 |
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