Canada during the First World War: Conducting a Universal Registration of Labor Resources (based on the Canadian Press)
Bibliographic record
Abstract
The article is devoted to the study of the Canadian government’s policy in the field of labor mobilization of the population during the First World War. The author limits the presentation of events to 1916, when the concept of compulsory labor service was developed and implemented. The article proved that the universal registration of labor in Canada was the first step towards introducing compulsory labor service and, as a result, became the basis for abandoning the voluntary system of recruitment into the army and the gradual transition to compulsory military service (conscription). The projects of conducting a universal census of labor resources, developed by supporters and opponents of conscription, are being studied. The process of institutionalizing the labor mobilization of the Canadian population is described on the example of the creation and activities of two state bodies: the government Council for labor service and the parliamentary Committee for labor service. The features of the mechanism for the inventory of labor resources, including the structure of registration cards, the conditions for filling them in, as well as the circumstances of its implementation, are investigated. The results of the general census of labor are summarized, the protest movement among Canadian workers who for various reasons refused to participate in the universal registration of labor resources is studied.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.011 |
| Science and technology studies | 0.019 | 0.006 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".