Social Construction of American Sign Language--English Interpreters
Bibliographic record
Abstract
Instructors in 5 American Sign Language--English Interpreter Programs and 4 Deaf Studies Programs in Canada were interviewed and asked to discuss their experiences as educators. Within a qualitative research paradigm, their comments were grouped into a number of categories tied to the social construction of American Sign Language--English interpreters, such as learners' age and education and the characteristics of good citizens within the Deaf community. According to the participants, younger students were adept at language acquisition, whereas older learners more readily understood the purpose of lessons. Children of deaf adults were seen as more culturally aware. The participants' beliefs echoed the theories of P. Freire (1970/1970) that educators consider the reality of each student and their praxis and were responsible for facilitating student self-awareness. Important characteristics in the social construction of students included independence, an appropriate attitude, an understanding of Deaf culture, ethical behavior, community involvement, and a willingness to pursue lifelong learning.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".