Notice bibliographique
Résumé
Attending the Canadian Institute of Forestry/Institute forestier du Canada (CIF/IFC) / Society of American Foresters (SAF) Joint Convention in Edmonton Alberta, Canada was an incredible experience.I would like to thank the CIF/IFC and SAF administration and the many volunteers who made the event possible, and commend them on a job well done.I would also like to thank the Mississippi Chapter of the Society of American Foresters and Mississippi State University (MSU) for sponsoring the 14 MSU students who attended the convention.For a little background information about myself, I am a senior in forestry at Mississippi State University.After graduation I plan to continue my educational studies by attending graduate school at Mississippi State, focusing on an aspect of forestry and wildlife interactions.Conventions of this nature offer many opportunities for both students and professionals.They are fun and entertaining as well as educational and provide a great opportunity for students to travel to places they have never been.In my three years of involvement with SAF, I have traveled to Quebec City, Quebec; Buffalo, New York; Edmonton, Alberta; Nebraska City, Nebraska; and Clemson, South Carolina.Without being involved in SAF I might never have had the opportunity to visit these places.While in Edmonton some of our students took a trip to the Jasper National Park where they saw moose and mountain goats in their natural habitat as well as flora that differs greatly from what we are accustomed to in Mississippi.The impressive Rockies offered unfamiliar species such as Aspen, Larch, and Spruce.We have been taught a lot about the boreal region but seeing it first hand really brought it all together.Edmonton is also a fun city.The West Edmonton Mall is like nothing I have ever seen before, and the variety of restaurants and pubs was impressive.The convention planners did a great job organizing social events for students as well as general participants.Students were given the opportunity to compete in the Quiz Bowl, which is a forestry knowledge game where school teams compete against each other.Questions are asked from topics such as fire, dendrology, agroforestry, silviculture and biometrics.This was CIF/IFC's first year to host a Quiz Bowl and they did an outstanding job.As students, we had the opportunity to meet and network with not only forestry students and professionals from other schools but from other countries as well.I learned a lot from other students just through casual conversation about differences in the composition of flora, rotation length, harvesting methods, and management practices.These discussions once again brought book knowledge into reality.Hearing the information from a peer's personal experience and discussing it develops a better understanding of the subject, and it is knowledge that you will more than likely retain.Although there are many differences throughout the forestry profession, one aspect of it remains the same, a general sense of comraderie.We had many opportunities to meet and talk with professionals in forestry and related fields.The convention's atmosphere encouraged networking between students and professionals not only because of the relaxed, comfortable atmosphere, but also because students were treated as professionals, which built confidence.Conventions are also great places for students to learn of job opportunities.
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 | 0,006 | 0,031 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,005 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,006 | 0,003 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,015 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,033 | 0,019 |
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 ».