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Record W2104248348 · doi:10.1177/2167702614555413

The Emerging Field of Nutritional Mental Health

2015· article· en· W2104248348 on OpenAlex

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

VenueClinical Psychological Science · 2015
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
FundersUniversity of Canterbury
KeywordsMental healthPsychological interventionPsychologyMicrobiomeBrain Structure and FunctionNeurosciencePsychiatryMedicineCognitionBioinformaticsBiology

Abstract

fetched live from OpenAlex

We live in a transformational moment for understanding the etiology of mental disorders. The previous leap in understanding occurred 60 years ago, which led us to incorporate psychopharmacology into our curricula to address the chemical basis of neurotransmitter function, especially as explained through the then-popular catecholamine hypothesis. The current revolution is broader, consisting of the rapidly accumulating knowledge of how inflammation, microbiome imbalance (gut dysbiosis), oxidative stress, and impaired mitochondrial output affect brain function. Suitable interventions for fighting inflammation, restoring normal gut function, reducing oxidative stress, and improving mitochondrial metabolism incorporate lifestyle variables, including nutrients and probiotics. This article invites readers to stay abreast of this emerging model of the biological basis of mental illness, given that it has particular relevance for those readers interested in alleviating the suffering of individuals with mental disorders. This overview describes the basis for a new field in mental health: nutritional psychiatry/psychology.

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)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.898

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.245
GPT teacher head0.523
Teacher spread0.278 · 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