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Record W7032696981

Wyrd Ecology

2021· dissertation· en· W7032696981 on OpenAlexaboutno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2021
Typedissertation
Languageen
FieldDecision Sciences
TopicAcademic Publishing and Open Access
Canadian institutionsnot available
Fundersnot available
KeywordsConscienceGratitudeObligationVenerationAction (physics)EthnographyPower (physics)IntentionalitySpirituality
DOInot available

Abstract

fetched live from OpenAlex

This work investigates what motivates environmental action through developing a case study on how ecological conscience forms in the ritual practices of a new religious movement. I conducted a two-year ethnographic study with a community of contemporary Heathens in eastern and southwestern Ontario to investigate how ritual practices are related to the formation of conscience in the group. I used participant observation and interviews to investigate how ritual is related to conscience formation, and how it can generate a sense of obligation to others, including nonhuman others. I draw on social psychology (especially terror management theory), cognitive science, anthropology, ritual studies, and philosophy to describe and interpret three ritual practices, each of which involve some sort of gift giving. First I discuss high sumbel, a ritual of sharing drinks and giving gifts, then Dísablót, an example of ancestor veneration in which offerings (a type of gift) are given to the dead, and finally the procession of Nerthus, in which offerings are made to a figure participants understand as a power of nature associated with a particular bioregion. I find that giving gifts and expressing thanks in ritual inspires a sense of gratitude and a desire to give in turn in participants. Among these Heathens this gratitude and felt sense of obligation extends beyond human relations to include the more than human world. When one gives a gift one develops an appreciation for what one has already received, and when ritual activities include things that make participants aware of their mortality, the values that come to mind during the activity can be operationalized. In this case, values of inclusion, gratitude, sharing, and generosity are reinforced through ritual practice and influence participants’ dispositions, attitudes, and habitual behaviours.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.904
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0030.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.035
GPT teacher head0.302
Teacher spread0.267 · 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 teacher head, not a consensus.

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
Published2021
Admission routes1
Has abstractyes

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