Bibliographic record
Abstract
This paper illustrates experiences of rural deaf children as they interact with health facilities in county of St. Patrick in southern Trinidad. Statistics on total number of deaf children that exist either in Trinidad or in county of St. Patrick are not available. Nevertheless a Central Statistical Office (CSO) Report, based on results of Trinidad and Tobago 2000 Census, reveals that there are a total of 5,319 persons with hearing disabilities in country. The Marge Report (1984) examined 500 children in Trinidad and Tobago and found that one in six of children had a disability. In discussing disability and children, Dr. Bratt, in a newspaper article, stated that most of these disabled children remain undiagnosed and receive inadequate treatment. Their rights as citizens have been denied, their potential and abilities remain unexplored and their usefulness to society is completely overlooked. He went on to state that as a result, the lifestyle of disabled child or adult is often one of frustration, fear, failure and even despair (Trinidad Guardian, 20 March 2002). The Trinidad and Tobago government, through a multidisciplinary committee, which included representatives from key organizations representing disabled, developed a draft policy statement on Persons with Disabilities since September 1993 to: eliminate marginalization and discrimination; encourage self-reliance and promote involvement and participation and promote opportunities for a better quality of life for persons with disabilities. This document has not as yet been legalized.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".