Bibliographic record
Abstract
WE WSPOLCZESNEJ KANADZIEThis paper focuses on some selected aspects connected with development of a myt of the world's longest undefended border in the contemporary Canada.It i concentrated on the changing attitudes in Canadian society towards creation a common external boundary for the North America.The paper shows how the c rent problems of security and terrorism revive Canada's oldest existential problem keeping itself separate from the United States.It also covers the ways Canadia and Americans are beginning to redefine the very meaning of the border.It is physically invisible, geographically illogical, militarily indefensible, and emotionally inescapable.(Hugh Keenleyside, 1929) Granice mi^dzy Kanadq a Stanami Zjednoczonymi Ameryki rozci^gaj^ si^ od Atlantyku na wschodzie do Pacyfiku na zachodzie oraz od ciesniny Dixon En trance na poludniu do Oceanu Arktycznego na polnocy.Granice oddzielajt) osiem kanadyjskich prowincji i terytoriow od trzynastu amerykanskich stanow.Obejmujq nie mal wszystkie strefy klimatyczne Kanady.Linia graniczna jest ogromnie zroznicowana pod wzglfdem topograficznym, przebiega wzdluz rownoleznikow i poludnikow, dzia low wodnych, gor, rzek i jezior, tworz^c najdtuzsz;j na swiecie k}dow:j granice: mi^dzy dwoma panstwami, ktora liczy 8891 kilometrow i czysto bywa okreslana jako "49.row noleznik", choc w rzeczywistosci taki przebieg ma jedynie jedna czwarta jej dlugosci1.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.040 | 0.032 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".