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Record W2971697677

A Samaritan State Revisited: Historical Perspectives on Canadian Foreign Aid

2019· book· en· W2971697677 on OpenAlexaboutno aff
Greg Donaghy, David Webster

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)Political scienceComputer science
DOInot available

Abstract

fetched live from OpenAlex

Canada’s foreign aid programs are an area of ongoing interest, yet there is little knowledge of Canada’s 70-year aid history, the historic forces that have shaped Canadian aid policy, and the many complex factors that affect Canada’s future foreign aid policy. A Samaritan State Revisited brings together a refreshing group of emerging and leading scholars to reflect on the history of Canada’s overseas development aid. Addressing the broad ideological and institutional origins of Canada’s official development assistance in the 1950s and specific themes in its evolution and professionalization since the 1960s, this collection is the first to explore Canada’s history with foreign aid with this level of interrogative detail.Extending from the 1950s to the present and covering Canadian aid to all regions of the Global South, from South and Southeast Asia to Latin America and Africa, these essays embrace a variety of approaches and methodologies ranging from traditional, archival-based research to textual and image analysis, oral history, and administrative studies. A Samaritan State Revisited weaves together a unique synthesis of governmental and non-governmental perspectives, providing a clear and readily accessible explanation of the forces that have shaped Canadian foreign aid policy

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.194
Threshold uncertainty score0.935

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.008
Science and technology studies0.0400.019
Scholarly communication0.0100.003
Open science0.0010.003
Research integrity0.0020.004
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 head0.013
GPT teacher head0.219
Teacher spread0.206 · 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 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

Citations4
Published2019
Admission routes1
Has abstractyes

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