Once a broker, always a broker: Non-professional interpreting as identity accomplishment in multigenerational Italian–English bilingual family interaction
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
Abstract This paper explores interpreting in three-generational Italian–English bilingual families as a complex language brokering activity. Recent studies approach non-professional interpreting as language brokering in which bilinguals (often children) interpret for non-bilinguals (adults) in institutional settings (Hall 2004; Valdés 2003). These studies focus on brokering between minority group ‘insiders’ and majority group ‘outsiders’. My research extends these approaches, focusing on brokering in Italian–English bilingual family meal-time conversations. Second-generation family members have served as interpreters for their parents in institutional contexts since migrating as children over fifty years ago. They extend this practice to the family context, brokering between first- and third-generation family members in two ways. Triggered interpreting occurs when speakers verbally request clarification or when second-generation family members perceive conversational sequence problems. Non-triggered interpreting is neither requested nor sequentially triggered. Second-generation family members report playing an intermediary role unifying flanking generations. They act to bridge perceived linguistic and cultural gaps between their Italian-dominant immigrant parents and their English-dominant Canadian/US-born children. Interpretation in multi-generational conversations is one way through which these bridging roles and identities are accomplished locally in mundane interaction. The analysis includes an examination of spontaneous conversational data and participants' metacommentary and retrospective accounts of language brokering.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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