Geographies of diplomatic labor: Institutional culture, state work, and Canada's foreign service
Bibliographic record
Abstract
The common perception of a foreign service career emphasizes the role of high-ranking diplomats traveling the world to engage in the high politics of statecraft and negotiation. Critical geographic scholarship, however, has recently turned to examine the more mundane, quotidian, and regularized work of foreign policy professionals in consulates, embassies, and foreign ministries. This paper builds a historical and institutional understanding of the work of Canada's foreign service officers, examining how ideals, practices, and structures related to professionalism, elite status, expertise, and collective bargaining matter for articulating diplomats' self-identity, and how this shapes and is shaped by institutional change in the Canadian state. We look first at the changing “institutional culture” within the foreign service, especially how FSOs understand their work and its relationship to the foreign ministry as a workplace, and how this workplace has changed through institutional shifts in the departmental configuration housing the diplomatic corps. We then examine the role of the Professional Association of Foreign Service Officers (PAFSO), which represents and bargains on behalf of foreign service officers in Canada, in shaping Canadian foreign service officers' sense of themselves, their work, and their place in the Canadian state.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.019 | 0.017 |
| Scholarly communication | 0.008 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".