Bibliographic record
Abstract
Den numera omfattande idrottsvetenskapliga litteraturkanonen innehaller ett inte obetydligt inslag av studier om sportens betydelse for identitetsskapande. For saval den individuella identiteten som den lokala, nationella, kulturella, etniska och konsidentiteten, med flera, kan relationen till idrott och sport spela vasentlig roll. Google hittar 875 000 sidor med den exakta ordfoljden ”sport and identity”, medan Google Scholar hittar 369 000 sidor med orden ”sport” och ”identity” och 262 med ”sport and identity”. Pa Amazon.co.uk kan man kopa over 90 titlar med orden ”sport” och ”identity” i titeln. Tidigt ute var legendariska basketstjarnan och Women’s Basketball Hall of Fame-medlemmen Patsy Neal med Sport and Identity (Dorrance) fran 1972, som fortfarande citeras i akademiska texter fran skilda akademiska discipliner. Ett betydligt mer sentida exempel ar Gillian Poulters bok fran forra aret, Becoming Native in a Foreign Land: Sport, Visual Culture and Identity in Montreal 1840–85 (UBC Press), vari hon analyserar idrottens betydelse for konstruktionen av en nationell identitet for den nya, inte helt sjalvstandiga nationen Kanada. Vi bad Johnny Wijk lasa Poulters bok, som for ovrigt bygger pa hennes avhandling fran 2000 och har ront uppmarksamhet i internationella idrottshistorikerkretsar, och hans uppskattande recension redovisar huvuddragen i boken, med speciell betoning pa de idrotter som de nya kanadensarna plockade upp fran ursprungsbefolkningen och gjorde till sina egna, bland annat snoskovandring, lacross och kalkakning. I borjan av 1880-talet uppfanns ishockey, och resten ar, som man sager, historia.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.064 | 0.011 |
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".