Notice bibliographique
Résumé
I have the pleasure of writing to Folklorica's readers from an extended research trip in the northwestern Krajina region of Bosnia and Herzegovina.On my way into the field, I stayed in Zagreb, Croatia, where I was once again provided access to the great wealth of data housed in the archive of the Department of Ethnology and Folklore at the Croatian Academy of Sciences and Arts (Hrvatska akademija znanosti i umjetnosti, hereafter HAZU).One of my current research topics involves a significant folklore collection project conducted in this region at the end of the nineteenth century.Between the autumns of 1886 and 1888, (1) the Croatian lawyer and ethnographer, Luka Marjanović-leading a small team with a shifting roster of students, writers, and scholars from Zagreb and other regions-collected 290 epic songs (and thirty lyric songs) from thirteen Muslim singers from the Bosnian Krajina.(2) Some of these songs were recorded in the Krajina on five separate fieldtrips, some were submitted by correspondents, and a large number were collected from three singers who were brought to Matica's main offices in Zagreb to record their songs and have their photographs taken.Marjanović's star singer, Mehmed Kolaković, also performed for an audience of Zagreb's high society.Over the next ten years Marjanović pored over these works, comparing variants, compiling a rich dictionary of unfamiliar terms in the songs, and selecting what he deemed to be the fifty finest to be published in the third and fourth volumes of Matica's Hrvatske narodne pjesme [Croatian Folk Songs] collection (1898 and 1899).Although the project and subsequent publications were heralded at the time for their rigor and exactitude, subsequent scholars reviewing the manuscripts were shocked to learn the drastic alterations Marjanović applied to the songs to bring them in line with his literary aesthetic [Krstić 1956; Lord 1991: 35-36, 125; 1995: 16-18, 223;Mučibabić 1981].I will have more to say on this in upcoming publications.Whatever his failings as an editor, though, Marjanović was a scrupulous collector for his time.Certain impositions he likely enacted on the singers during their performances cannot be removed from the collected manuscripts.But, otherwise, given that no audio recording technologies were yet available and all these songs were transcribed with pencil and paper, the manuscripts are a testament to the highly empirical collection regimen imposed by the scholar.For nearly every song collected, HAZU retains an original copy (pencil on quire) recorded during performance, which was then re-written in ink on a separate document.The originals were then carefully archived, largely unmolested, and all edits and alterations were applied only to the second copiesand those, intentionally, in such a way that the original verses are mostly legible.
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 | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,087 | 0,023 |
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 ».