Postcolonial Borderlands: Orality and Irish Traveller Writing
Bibliographic record
Abstract
A traditionally nomadic people, the Irish Travellers have experienced a long history of marginalization and discrimination in modern Ireland. This volume explores colonisation as an unresolved trauma which has contributed to this marginalisation of Travellers both within Ireland and abroad. Travellers' traditionally oral culture has meant that they have, until recently, been excluded from many educational institutions and frameworks. Focusing on two autobiographical works by Traveller writers, Nan Joyce's My Life on the Road (2000) (formerly Traveller, 1985) and Sean Maher's The Road to God Knows Where (1972, 1998), the prominence given to oral expression and narration suggests that memory is a collective process, one whereby an individual's cultural identity develops on a communal level, a level that is intimately connected to the natural world. By re-engaging with the official versions of Irish history as encompassed in narratives where Travellers are active participants, Joyce and Maher reveal the seminal role of storytelling in the creation of a sense of nationhood for a people hitherto excluded to society's margins. The writings of these Traveller authors also serve to construct a legitimate sense of belonging for Travellers within the modern Irish nation-state. By re-engaging with such individual narrative voices it is possible to illuminate what is lost, but also, what is worth safeguarding for the future.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.012 | 0.014 |
| Scholarly communication | 0.018 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".