Bibliographic record
Abstract
This thesis applies anthropological methodology to concepts of second language acquisition motivations in an attempt to better understand the question of, why students at Saint Mary's University choose to learn the Irish language?The learners who were interviewed can be placed into one of two groups, Roots or Hobbyist, based on what their core motivations are for learning Irish.The question is further complicated by the addition of questions of authenticity and identity among the learners.This was specifically significant in regard to those students who were learning because of a desire to connect with their ancestry (Roots).It was because of this, that I noticed that the learning of the Irish language was being used as a method through which, some learners, sought to authenticate their heritage identities.Also, in learners that are not learning due to any ancestral relation (Hobbyists) there were results that appeared to be very similar to ones drawn by other scholars such as Jonathan Giles (2016).Some of these motivations were an interest in Irish culture or an interest in a field that the learner believes is complemented by some knowledge of the Irish language.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".