Field Notes from the Light: An Ethnographic Study of the Meaning and Significance of "Near-Death Experiences"
Bibliographic record
Abstract
This dissertation is based on a comprehensive study which investigated the meaning and social significance of "near-death experiences" (NDEs) by situating 50 experiencers (NDErs) as the "inside" experts on these profound, subjective experiences and their real-world impact. I used a phenomenological, "person-centered" ethnographic approach, new to Near-Death Studies, to make experiencers' lives the orienting framework for my study. Informed by "reformist" qualitative-research ethics and health-education-and-counseling values, I analyzed study-participants' life-history narratives against medical-scientific Near-Death Studies explanatory models, an NDE-Integration-Trajectory (NDE IT) patterns model, and social construction and identity-alternation theory. My findings were, first, that study participants' descriptions of NDE impact and aftereffects, which matched previous findings, were adequately explained by neither social construction nor medical-scientific theory. Second, participants in this and previous studies described significant NDE interpretation and integration problems, in which I recognized a previously unidentified, health-education-and-counseling-related, pattern of unmet NDE integration needs. Third, my findings supported the previous NDE IT findings and model; and also recognized the importance of individuals' multiple cultural meaning systems in shaping their NDE integration patterns.. Fourth, 29 of 50 study participants had not sought out and did not identify Near-Death Studies as a useful NDE integration context or resource; and they described it negatively if they mentioned it at all. Moreover, the 21 participants who had sought a connection with Near-Death Studies expressed similar dissatisfactions. My findings speak to the need for development of a research agenda and model(s) designed to assess and address the education and counseling needs of tens of millions of NDErs, and their health care providers. My analysis addresses the potential social-wellness value, as well as the needs, of a community of 13 million adult NDErs, in the U.S. alone. It situates its analysis within a context of escalating social and ecological crises and an in-progress paradigm-shift away from the still-official Newtonian/Cartesian material world view of Western culture. It recognizes the potential social value of NDErs' collective visibility as agents, among many others of a (re)emergent sacred worldview; one that is linked to the world views of diverse indigenous knowledge systems as well as of quantum physics.
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 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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.014 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.007 |
| 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".