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Record W7038435291

How the Dominion heard the cry, the early history of the Canadian Save the Children Fund, 1922-1946

2001· dissertation· en· W7038435291 on OpenAlexaboutno aff

Bibliographic record

VenueThe Atrium (University of Guelph) · 2001
Typedissertation
Languageen
FieldComputer Science
TopicComputational Physics and Python Applications
Canadian institutionsnot available
FundersAmerican Friends Service CommitteeUNICEF
KeywordsDominionScholarshipNewspaperSocial history (medicine)Government (linguistics)Canadian studiesService (business)
DOInot available

Abstract

fetched live from OpenAlex

This thesis explores the early history of the Canadian Save the Children Fund, a branch of a voluntary British international organization aimed at assisting children during times of war. Founded in 1922, the Fund drew heavily from domestic child-welfare initiatives and was consistently loyal to the British cause. Fostered by both co-operation with other organizations in Canada and the conditions created by the Second World War, the Canadian branch became independent in 1946. This is a systematic study of the early Canadian Fund's organizational structure, as well as its economic and social contributions in an international context. The sources used to reconstruct this early history are varied and draw upon several different archives. Financial statements, minutes of executive meetings, and memoranda of the Canadian Fund were consulted for this study. The annual reports and monthly newsletter of the British Fund were also examined. Additionally, contemporary sources, including newspapers and child-welfare literature help to place this study in context. Similar sources of the Canadian Friends Service Committee, with which the Canadian Fund was closely associated were also utilised. As part of a growing body of scholarship on the history of childhood, this thesis is the first academic study of the early history of the Canadian Save the Children Fund.

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)0.002
metaresearch head score (Gemma)0.007
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: Empirical · Consensus signal: none
Teacher disagreement score0.153
Threshold uncertainty score0.982

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0290.021
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.018
GPT teacher head0.202
Teacher spread0.184 · 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
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
Published2001
Admission routes1
Has abstractyes

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