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Record W3136699027 · doi:10.1080/17531055.2021.1904704

A common situation? Canadian technical advisors and popular internationalism in Tanzania, 1961–1981

2021· article· en· W3136699027 on OpenAlexaffabout
Will Langford

Bibliographic record

VenueJournal of Eastern African Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsInternationalism (politics)SociologyPoliticsCapitalismTanzaniaPovertyIndigenousInternational relationsPolitical scienceGender studiesPolitical economySocial scienceMedia studiesLawEthnology

Abstract

fetched live from OpenAlex

In the 1960s and 1970s, technical advisors participated in postcolonial development efforts and popular internationalism. This article addresses the politics of technical assistance as an entry point for exploring the wider shared histories of Tanzania and Canada. It shows how Canadian advisors reflected on ujamaa, race, and their relationships with Tanzanians. And it charts how lived experiences shaped their commitments abroad as well as back at home. Insisting that technical assistance is part of Tanzanian transnational history, the essay argues that Canadian advisors were divided on the politics of poverty. They held liberal and left internationalist perspectives, two overarching ways of understanding global structures that were opposed as well as internally varied. The first vision presumed that developmental work had mutualistic benefits within global capitalism. The second stressed solidarities for a building an anti-imperialist world and, in different ways, involved social democrats, New Leftists, and Black Canadian and Indigenous activists. Debates eventually led to a left-leaning attempt to rethink technical assistance.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.125
Threshold uncertainty score0.907

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0310.009
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0020.002
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 head0.027
GPT teacher head0.296
Teacher spread0.269 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Eastern African StudiesSame topicCanadian Identity and HistoryFrench-language works237,207