COVID-19 and Portuguese Adults with Intellectual Disabilities
Bibliographic record
Abstract
The COVID-19 pandemic has changed the lives of people all over the world, including in Portugal. This study explores the impact of the pandemic on several life domains of Portuguese adults with Intellectual Disabilities (ID) and their families; identifies the difficulty level in the implementation of the most common preventive measures by adults with ID; addresses the consequences of health authorities’ guidelines in the activities carried out in daycare centers for people with disabilities. A total of thirty-three daycare centers participated; they were attended by a total of 1192 adults at the time the study took place (between the 15th of September 2020 and the 15th of October 2020), and a professional belonging to the daycare center answered an online survey. The results showed that: 1) participants agreed that the pandemic had a negative impact on adults with ID and their families, although only in a percentage of them; 2) in the cases of the adults and families where that negative impact occurred, it was generalized, expressing itself in various life domains; 3) almost all of the preventive measures where considered difficult to apply by adults with ID; 4) the participants agreed that the health authorities' guidelines influenced the activities that were performed in the daycare centers, i.e., there were less activities, and the existing ones were less diversified, more sedentary and occurring indoors more often. The implications of the negative impact of the pandemic on adults with ID, their families, and the services provided have to be addressed.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".