Was ist neu an der neuen Dolmetschart Community Interpreting? State of the Art in deutschsprachigen Ländern
Bibliographic record
Abstract
<p>In my paper I would like to discuss the specifics of community interpreting (CI) as a relatively new art of interpreting. The following aspects should be taken into consideration: the definition of the term on specific scopes of CI and compared to other types of interpretation as well as a brief overview of the development of this type of interpreting in Sweden, USA and Canada as pioneer countries and German-speaking countries.</p><p>For the definition of CI compared especially to conference interpreting, the following factors are important: the particular communication situation, the additional skills of the interpreter, guidelines for CI as well as questions of quality management and the role of the interpreter: Is the tendency to over-emphasize the position of power of the community interpreter fair? </p><p>In the context of a country-specific overview, the following are also discussed: the professional status of the community interpreter and the situation on the labor market – in areas of court interpreting (including asylum procedures, eg Legal Law Clinic in Innsbruck, Austria as a positive example) and hospital interpreting – and training for community interpreters at university (eg in Graz and Vienna in Austria).</p><p>In conclusion, I would like to speak about necessary steps to professionalize CI in German-speaking countries.</p>
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 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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".