Notice bibliographique
Résumé
Rising temperatures bring rising numbers of outdoor training athletes. No athlete, however, is as visually obvious as a runner. The Red River Valley has seen a growing presence of runners over the past few years. With Runner's World pegging the Fargo Marathon as one of the best marathons in the United States, the Red River Valley has become a hot spot for cross-country, track, amateur marathoners, and road racers. One such race in the Red River Valley is the annual 4th of July Firecracker in Grand Forks. The event includes a walk/run 5K and 10K (2011 race results). The Firecracker race formerly included a half marathon. However, the half marathon component has been moved to a separate event during the Cats Incredible festivities each August. The events are indicative of a growing market for such races. Danielle Thompson, a Grand Forks native and first place women’s finisher at this year's Firecracker race discussed the race and her thoughts on the Grand Forks running community. “I’ve noticed a definite increase in the amount of runners in the Red River Valley area. It seems like more people have caught the running bug and are joining road races. My mom actually signed me up for it and so I had planned on just enjoying a nice race with her. I felt really good throughout [the race].” The events provide an outlet for former high school and collegiate cross-country runners and running enthusiasts to competitively engage within their community. Showing the growing running trend, winter events have even grown out of rising interest - an event titled “Frozen Feat,” a 5k/10k in February where the average temperature is about 10 degrees F. Another runner, Melissa Ramsey, also ran the 4th of July race. “Going into the Firecracker 5K, my goal was to jog/run as much of it as I could. It was my first race event in a long time.” Ramsey continued, “I really surprised myself in how motivated I was to keep going. I usually walk/jog/run with [my dog] Bosko. He is very energetic and always keeps me going.” The Red River Runners organization has long been an organizer for amateur runs in the Red River Valley and boasts an enrollment of 758 on its mailing list. In addition to the planning acumen required to coordinate large group runs twice weekly, the organization also is involved in helping individuals prepare for the Fargo Marathon from January until the end of May, when the event is hosted. Also at the Firecracker 5k/10k, Professor of Social Work Bret Weber discussed his growth as a runner both inside and outside Grand Forks. He stated, “I found that I loved running one year before I moved here [from Utah]… when I moved here, I needed to replace the mountains and I found that I loved running in the wind.” Regardless of the role of summer in bringing out runners, it is clear that running in Grand Forks and the surrounding area will not decline in popularity within foreseeable future.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,006 | 0,001 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,255 | 0,109 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».