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Record W4413095367 · doi:10.11647/obp.0477.06

6. An Economic Model to Capture Effects of Historical Trauma

2025· book-chapter· en· W4413095367 on OpenAlexaff
Mukesh Eswaran

Bibliographic record

VenueOpen Book Publishers · 2025
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIndigenousResource (disambiguation)Resource allocationPsychological traumaPhenomenonHistorical traumaPsychologyCognitive psychologyEconomicsPsychotherapistEpistemologyComputer scienceEcologyManagementBiology

Abstract

fetched live from OpenAlex

Chapter 6 sets out an economic model that offers one approach to analysing the effects of historical trauma. Consulting evidence on the link between historical trauma and psychological pain, it extends the model from Part I to incorporate the endogenous responses of individuals to historical trauma. Formal analyses of resource allocation typically ignore the phenomenon of pain, which is particularly relevant to North American Indigenous communities. Consequently, the model in this chapter is particularly oriented towards examining the resource allocation effects of persistent pain, the response to which takes the form of pain alleviation. The chapter derives the equilibrium in a hypothetical Indigenous community experiencing shared historical trauma.

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 categoriesMeta-epidemiology (narrow)
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 score0.169
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.000
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 head0.031
GPT teacher head0.291
Teacher spread0.260 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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