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Record W7079551949 · doi:10.26108/vnm7-fn71

Morale of Canadian censors during The Second World War

2016· article· en· W7079551949 on OpenAlexaboutno aff

Bibliographic record

VenueAcadiaU-DEV · 2016
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsCensorshipCriticismState (computer science)World War IISketchHistoriographySection (typography)

Abstract

fetched live from OpenAlex

We often hear about how censorship is enacted during war in order to protect the morale of a country's citizens while preventing valuable information from being intercepted by the enemy. However, we never hear about the morale of the censors nor do we see written historical texts relating to the topic. Using the diaries and letters written by Captain Robbins Elliott who was a field press censor for the Canadian military during the Second World War, we can determine the state of his morale. Since this is an archival thesis, the first section contains a description of the documents belonging to Robbins Elliott beginning from his journey to Holland and ending with his research on various people and places. There is also an archival sketch of Elliott's life along with other access points that the reader may find of interest. The way that this finding aid is structured is consistent with The Rules for Archival Description (RAD). The second part discusses the historiography of Canadian censorship during the Second World War as well as both the press and military censorship systems. The archival records along with secondary research highlight what Elliott and other military censors thought about their duties and how some reacted to criticism of censorship. This section concludes that Elliott's morale remained intact as a censor throughout the war.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.574
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.194
Teacher spread0.182 · 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.

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
Published2016
Admission routes1
Has abstractyes

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