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Record W4384154261 · doi:10.1017/9781009304610

Immune Ethics

2023· book· en· W4384154261 on OpenAlex
Walter Glannon

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook
Languageen
FieldImmunology and Microbiology
TopicImmune responses and vaccinations
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsImmune systemImmunityDiseaseInnate immune systemImmunologyHarmAcquired immune systemBiologyXenotransplantationMedicinePolitical scienceTransplantation

Abstract

fetched live from OpenAlex

The immune system maintains homeostasis within human organisms and protects them from pathogenic threats. But sometimes it cannot provide this protection on its own, and vaccines may be necessary to ensure our health and survival. Immune functions can become dysregulated and result in autoimmune disease or multi-system damage. Pharmacological and genomic interventions may activate or modulate immune functions to prevent these outcomes. This Element is an analysis and discussion of some of the ethical implications of these interventions. After describing the main components of innate and adaptive immunity and how it might be enhanced, it considers the potential benefit and harm from vaccines against addiction and viruses, immunotherapy for cancer, neuroimmunomodulating agents to prevent or treat neurodevelopmental and neurodegenerative diseases, and gene editing of immunity to enable xenotransplantation and prevent infectious disease. The Element concludes with an exploration of a possible outcome of natural competition between humans and microbes.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.471
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.033
GPT teacher head0.243
Teacher spread0.209 · 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