MétaCan
Menu
Back to cohort
Record W2045931083 · doi:10.4314/ad.v30i3.22231

6 - Healing Insanity: Skills and Expert Knowledge of Igbo Healers

2005· article· en· W2045931083 on OpenAlexaff
Patrick Iroegbu

Bibliographic record

VenueAfrica Development · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican cultural and philosophical studies
Canadian institutionsMacEwan University
Fundersnot available
KeywordsInsanityIgboAllegianceHarmony (color)MaterialismPsychologySociologyPsychotherapistMedicineSocial psychologyEpistemologyPolitical sciencePsychiatryLaw

Abstract

fetched live from OpenAlex

This paper gives insight into how Igbo healers of Southern Nigeria conceive of insanity and apply endogenous knowledge and expertise to heal it, contrary to the belief that cosmopolitan orthodox medicine only can provide efficacious cure for insanity. Resort to community support and culture remains people's widely shared way of dealing with insanity and related disturbances. While phar maceutical drugs are being made available to health seekers, local herbal and ritual resources as well as communicational and bodily skills do constitute the asset for holistic healing. Although research shows tensions between the local, Christian and biomedical views, the paper argues that effective healing tends to be successful when the etiology and treatment include due ancestral compliance work in harmony with people's views, emotions and life-worlds. The paper of fers an endogenous theory of symbolic release underlying a genuinely Igbo cosmological and epistemological strategy, side by side with the ritual of tying and untying for releasing the forces hampered by intrusion, and for achieving treatment based on culturally meaningful herbal and animal resources. To res cue the help-seeking individual and kin-group, as a first principle, the forces that tie the afflicted need to be rusticated before effective results can be obtained with treatment.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0030.005
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.050
GPT teacher head0.312
Teacher spread0.263 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations19
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueAfrica DevelopmentSame topicAfrican cultural and philosophical studiesFrench-language works237,207