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Record W7031692134

[no title]

2021· other· en· W7031692134 on OpenAlexaboutno aff

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2021
Typeother
Languageen
FieldArts and Humanities
TopicMedieval History and Crusades
Canadian institutionsnot available
Fundersnot available
KeywordsForeign policyAgency (philosophy)Government (linguistics)Development aidReading (process)Variety (cybernetics)Foreign relations
DOInot available

Abstract

fetched live from OpenAlex

In 2013, the government abolished the Canadian International Development Agency (CIDA), which had been Canada’s flagship foreign aid agency for decades, and transferred its functions to the newly renamed Department of Foreign Affairs, Trade and Development (DFATD). As the government is rethinking Canadian aid and its relationship with other foreign policy and commercial objectives, the time is ripe to rethink Canadian aid more broadly. Edited by Stephen Brown, Molly den Heyer and David R. Black, this is the first book on Canadian foreign aid since CIDA was folded into DFATD. Designed to reach a variety of audiences, contributions by twenty-one scholars and experts in the field offer an incisive examination of Canada’s record and recent changes in Canadian foreign aid, such as its focus on maternal and child health and on the extractive sector. Many chapters also ask more fundamental questions concerning the intersection of the moral imperative that underpins aid and the trend towards greater self-interest. For instance, what are and what should be the underlying motives of Canadian aid? How compatible are altruism and self-interest in foreign aid? To what extent should aid be integrated with Canada’s other policies and practices? The portrait that emerges is a sobering one. This book is essential reading for anyone interested in Canada’s changing role in the world and how it reflects on Canada.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.699
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0050.003
Open science0.0060.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.5570.001

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 head0.188
GPT teacher head0.399
Teacher spread0.211 · 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
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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueDirectory of Open access Books (OAPEN Foundation)Same topicMedieval History and CrusadesFrench-language works237,207