Bibliographic record
Abstract
Discusses practices of Foreign Service and supervisory function of Consuls General; realized from beginning of Foreign Service in 1914 that Foreign Service regulations were outmoded; at first post in Fort Erie, Canada, had little to do, and spent time studying regulations and changes which should be made; as mere novice, was not presumptious enough to make suggestions to Department; both Fort Erie and Curaçao, the second post, were one-man posts, and there was little opportunity to put into practice ideas which had been germinating; in Antwerp, as Consul General, Messersmith had a regular staff; he started practice of regular staff meetings, so that work of various officers was coordinated; again in Buenos Aires he started same practice and here had cooperation of Ambassador Robert Woods Bliss; also inspected other U.S. Consulates in Argentina and nearby countries; also carried many of the practices initiated into Consulate General where there were about 30 consulates to be inspected; was concerned over the profusion of Foreign Services - Commerce, Agriculture, Treasury, etc., each attaché, some of whom were not qualified, reporting to his own Department, thus causing confusion, duplication of activities, and sometimes conflicting reports; as matter of economy and efficiency it was recommended that all Foreign Services be consolidated under State Department; in 1937, was called back to Washington to help with reorganization; mentions specifically help given by Joseph Gray, Secretary to Secretary of State Hull, with full approval of Hull and President Roosevelt; reorganization eventually carried through, and U.S. State Department and Foreign Service became the most efficient in the world and had the highest morale; with the advent of Edward R. Stettinius noticed a decline in morale and efficiency; Stettinius may have been good business man, but he brought to Department complete lack of experience in work of the Department and lack of knowledge of Foreign Service; he also brought in men equally inexperienced in conduct of foreign relations; hopes Department, under [John] Foster Dulles will regain its former efficiency.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.274 | 0.167 |
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".