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Record W4306751999 · doi:10.15173/ijsap.v6i2.5137

“The light made us uncomfortable at the beginning, but we don’t want it to turn off again”: On decolonization and global health teaching

2022· article· en· W4306751999 on OpenAlexvenueno aff
Sepideh Yousefzadeh

Bibliographic record

VenueInternational Journal for Students as Partners · 2022
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsnot available
Fundersnot available
KeywordsDecolonizationSociologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

My first global public health job as a newly graduated midwife in Iran during the 90s involved taking part in several collaborations in the field of family planning and reproductive health between the Ministry of Health and the United Nations Population Fund (UNFPA). Through those programs I was introduced to South-South cooperation and exchange programs between Iran and some other global South countries. At the time, the country's postrevolutionary, strong anti-imperialist and decolonial policies (which faded away over time) across different sectors encouraged local capacity-building and knowledge creation in general and in the health sector in particular. During those experiences, there were ample opportunities to sit not only with subnational health workers and policy makers, but also counterparts from other Southern countries (e.g., Indonesia, Pakistan, or Turkey) and discuss our shared experiences with reproductive health policies and interventions. Within the South-South cooperation initiatives, we produced culturally sensitive health literacy materials or discussed nuances in global initiatives across the globe that may or may not be customized and localized to our specific contexts. The less hierarchical nature of those collaborations made it possible to openly discuss hurdles, create alternative solutions, and learn from one another. Despite the challenges and drawbacks of those programs, which are beyond the limits of this reflection, this was in practice my 101 applied course on a decolonial 1 approach to policy making in the area of global public health.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.367
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.023
GPT teacher head0.486
Teacher spread0.462 · 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
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
Published2022
Admission routes1
Has abstractyes

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