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Record W4304759196 · doi:10.5502/ijw.v12i3.2395

Review of The Evolution of Life Worth Living: Why we choose to live

2022· article· en· W4304759196 on OpenAlexaff
Paul T. P. Wong

Bibliographic record

VenueInternational Journal of Wellbeing · 2022
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsTrent University
Fundersnot available
KeywordsFlourishingHappinessPsychologyPsychoanalysisPsychological painExistentialismFace (sociological concept)Mental healthSocial psychologyEpistemologyPsychotherapistSociologyPsychiatryPhilosophySocial science

Abstract

fetched live from OpenAlex

Soper’s pain-brain theory, based on evolutionary biology, represents a provocative breakthrough for both suicidology and positive psychology. The main thesis of the book is that the evolved way of choosing to live rather than to die in the face of unbearable suffering is to develop a zest for happiness and meaning. His new theory can be summed up by a two-by-two matrix of “pain-type” versus “brain-type” of reducing pain, and the “keeper” versus “fender” levels of protecting us from suicide. My main critique is that the brain versus pain distinction is confusing because the brain is the center for all the functions needed for to reduce pain and keep us alive. Similarly, his football metaphor of two levels of defense(“keeper” and “fender”) is incomplete because the best defense is offence, when a good last line of defense can be quickly turned into offence. Therefore, a more fluid way of conceptualizing this distinction may be the dialectically interactive dual systems of life protection (Yin) and life expansion strategies (Yang) (Wong, 2012). Soper’s pain-brain theory is similar to Wong’s general existential positive psychology theory of flourishing through suffering (Wong, 2020a, 2021a). Both approaches emphasize the centrality of suffering and posit that whether suffering results in mental illness and suicide or mental health and flourishing depends on whether we have the wisdom of the soul and the necessary social support.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.242
Threshold uncertainty score0.576

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.282
Teacher spread0.269 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations4
Published2022
Admission routes1
Has abstractyes

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