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Record W3108505034 · doi:10.4103/intv.intv_20_20

From a Refugee Camp in Ethiopia as a Social Worker to Working with Refugees as an Expert Psychotherapist in Ethiopia: A Story of a South Sudanese Canadian Immigrant

2020· article· en· W3108505034 on OpenAlexaboutno aff
NhialKorow Wicleek

Bibliographic record

VenueIntervention · 2020
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeBachelorPersecutionDisplaced personImmigrationCertificationSocial workGender studiesPolitical scienceSociologyPsychologyLaw

Abstract

fetched live from OpenAlex

The author is an expert psychotherapist narrating how he became a refugee in his own country of origin after long years of persecution from an Arab-dominated regime. As the war broke out, the author, a young person at the time, was forced out of the country and sought refuge in Itang refugee camp in Ethiopia along with his parents. As a result of this displacement, the author then settled in a number of refugee camps in Ethiopia. During this time, he volunteered as a community worker and his interest in psychology was sparked. Upon arrival in Canada, the author began to pursue his studies and graduated with a Bachelor of Science Degree in Psychology and a Master of Counselling Psychology. In 2019, he then was certified as a Canadian Certified Counsellor. While in the process, the author worked for the Catholic School District Board at an Intercultural Wellness Programme as a Family Liaison Support Worker.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.037
GPT teacher head0.353
Teacher spread0.316 · 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 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

Citations1
Published2020
Admission routes1
Has abstractyes

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