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Record W6945238956 · doi:10.21427/tz8n-nc09

Exploring Food Traditions within the Four Quarter Days of the Irish Calendar Year

2022· article· en· W6945238956 on OpenAlexaboutno aff

Bibliographic record

VenueArrow - TU Dublin (Technological University Dublin) · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsnot available
Fundersnot available
KeywordsIrishQuarter (Canadian coin)Period (music)Population

Abstract

fetched live from OpenAlex

This study explores food traditions in the four quarter days of the Irish calendar year. Imbolg or St. Brigid’s Day, Bealtaine, Lughnasa and Samhain mark significant moments in the agricultural calendar. Food traditions, customs and practices relating to these days are recorded in the abundant resources of the collections in the Folklore Department, University College Dublin. However, to date, with few exceptions, little food specific research has been carried out on these collections. This thesis aims to begin to fill that gap whilst highlighting many opportunities for further research. Throughout this process we witness the illumination of a rich food history where games, superstitions, divinations and a mixing of the pagan and Christian traditions are preeminent.\nThe research is carried out through a six-step approach which involves a review of the existing folklore literature on the topic, an explorative interview with an ethnographer and archivist on how to conduct archival data on food traditions, a structured thematic analysis of more than 150 transcripts retrieved from the Schools Collection (1937-38) of the Folklore Department of the University College Dublin, and two post-analysis interviews with folklore experts to triangulate results and interpret findings.\nThe analysis of the four quarter days reveals plentiful food references. St. Brigid’s Day, the awakening of spring, represents a joyous moment bidding farewell to the long winter months. Here we observe the importance of dairy, a theme that dominates Irish food history, through tales of St. Brigid’s miracles and accounts of practices to ensure a bountiful milk supply for the coming year. Bealtaine, the beginning of summer, this quarter day represents a shift from the joy of spring. The fear and trepidation surround the beginning of the growing season plays out through stories of ill luck, dairy thievery and loss. Lughnasa on the other hand sees the return of celebration as the harvest commences and the bilberries are in season, the first potatoes of the year represent ‘luck’ while accounts of hilltop celebrations are found. At Samhain however, fear is apparent again. Although the celebration of the harvest is no doubt a sanguine occasion, the coming of the dark and cold of winter is evident. Here games and divinations are found foretelling fortunes, romantic and otherwise where food plays the protagonist. While the analysis of the data sample reveals an affinity to what is found in the literature, many nuances are highlighted. These nuances reveal a rich and oftentimes neglected food culture. At the same time, the analysis testifies to the importance of archival material for the unveiling of lost traditions and food culture. This study therefore speaks to folklorists, food practitioners, historians and students of gastronomy and food studies, revealing the significance of the quarterly division of the year through the food centred customs and practices narrated by communities of early twentieth century Ireland.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.129
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.004
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.128
GPT teacher head0.180
Teacher spread0.052 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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