A Spiritual Pilgrimage to a Celtic Homeland: Searching and Internalising in Grief from Stone to Sea. A Collaborative Autoethnography
Bibliographic record
Abstract
This collaborative autoethnography poses the research question; How does one’s experience of grief and anticipatory grief mobilise pilgrimage journeys to ancestral homelands? Two theoretical constructs found in the academic literature related to grief and loss are explored for their influence on both authors’ respective pilgrimage journeys to the Celtic ancestral homeland of their deceased and ‘vanishing’ fathers in Wales and Ireland. The theoretical constructs explored through an extensive review of paternal personal documents of one author (Laura), revealed thematic ideas that could be best understood through an elaboration of the academic literature(s) that inform understandings of grief and bereavement. These being: 1) Searching for the deceased or ‘vanishing’ other in grief, and 2) The process of internalising those who are no longer with us. For both authors these two conceptual understandings were instrumental in mobilising pilgrimage journeys to Celtic paternal homelands. For myself (Laura), encounters with Aberystwyth University, St David’s Cathedral and small chapels in the Welsh countryside where ancestral relations were interred were organised more than two decades after the death of my father. For Eunice, a pilgrimage journey to Ireland decades earlier with her living, recently diagnosed (Alzheimer’s disease) but ‘vanishing’ elderly father was similarly shaped by these two theoretical considerations in grief / anticipatory grief. Further expansion of these ideas allows for a deeper understanding of the personal and generalisable motivations that influenced the mobilisation of two separate and distinct pilgrimages to the Celtic ancestral homelands of the authors’ beloved fathers.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.013 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".