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Record W1528119717 · doi:10.30849/rip/ijp.v38i1.845

Psychological responses to drought in northeastern Brazil

2017· article· en· W1528119717 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

VenueRevista Interamericana de Psicología/Interamerican Journal of Psychology · 2017
Typearticle
Languageen
FieldPsychology
TopicPsychological and Temporal Perspectives Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsPsychologyGeography

Abstract

fetched live from OpenAlex

This study of cumulative effects of drought in Northeast Brazil assessed the psychological responses (anxiety, emotional distress, and PTSD) of 102 individuals living in a city (Queimadas) in a drought-prone area compared to the responses of 102 persons living in a drought-free control city (Areia) of comparable size. As predicted, the findings revealed that residents in the drought area (Queimadas) had significantly higher levels of anxiety and emotional distress than residents in the no-drought area (Areia). In the drought area, women had significantly higher levels of anxiety and men had significantly higher levels of emotional distress than women and men, respectively, in the no-drought area. Likely because of their role vulnerability, women had significantly higher levels of anxiety and emotional distress than men. As predicted, Post-traumatic Stress Disorder (PTSD) was unrelated to the drought. Although descriptive, the results provide baseline data for comparisons as the drought deepens and offer insights and suggestions for further research into the psychological consequences of drought.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.402
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0040.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.081
GPT teacher head0.485
Teacher spread0.404 · 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