‘We’re not ethnic, we’re Irish!’: Oral histories and the discursive construction of immigrant identity
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
This article examines how national and immigrant identities are discursively constructed through the use of oral histories, using a corpus of 15 oral-history interviews (25 hours of transcribed talk) collected from members of the Irish Association of Manitoba. Using a simplified discourse-historical approach, the analysis focuses on content, constructive strategies of assimilation and dissimilation, and the linguistic means by which those strategies are achieved, using Wodak et al.’s (1999) framework from an in-depth study of Austrian discourse and identity. While analysis of participants’ discourse about identity echoed much of the current theoretical knowledge available about identity — that it is a discursive construction revealed in narratives, that it is provisional and negotiated with others — the analysis also showed that for specific subgroups such as immigrants, identity construction is context-dependent, particularly for diasporic groups.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| 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 it