The organization and variability of song in Northern House Wrens (Troglodytes aedon parkmanii)
Notice bibliographique
Résumé
Hypothesized functions of complex song in birds include a role in mate attraction and territory defense and, through regional dialects, in genetic substructuring of populations and speciation.The necessary first step in testing such functions is a detailed characterization of song organization and variability.This is provided for the Northern House Wren (Troglodytes aedon), a species noted for complex song, but lacking detailed descriptions.The species was studied at two sites in Alberta with a sample of 15,000 songs from 15 males.Males sang in long bouts, each song composed of multiple syllable types and repeated many times before switching.The population repertoire of 27 syllables was almost entirely shared, but used to construct novel repertoires of up to 200 different song types for individual males without evidence of a ceiling.Additional flexibility and constraints in song construction are discussed in view of the above noted functions of song complexity.also to understand Canadian nature and wildlife, which was completely new for me.As a teacher, he contributed immensely for the development of my knowledge, and my academic and professional skills.His support for me to settle down in a foreign soil and to understand the Canadian culture is invaluable.I highly appreciate his continuous support, advice, and encouragement.I would also like to thank the members of my supervisory committee who have contributed to this research programme in many ways.Dr. Theresa Burg and Dr. Andrew Iwaniuk regularly provided feedback and advice on many aspects of the research.Dr. Burg supported me to enhance my knowledge on bird banding and related matters in the field.She also provided permission to use federal bands for House Wrens I banded in the field.In addition, I'm highly grateful to Karen Rendall for her support for this research and for me in many ways.She developed the database for an enormous dataset of songs v that continued to grow throughout the thesis.Her help for some data analysis through her knowledge on database management was invaluable.She also helped me to appreciate aspects of the new culture and nature in the field.I also thank all the faculty members of the Department of Psychology for their support in many ways throughout the period.I'm especially grateful to Leanne Wehlage-Ellis for her support for all the non-academic work.I would also like to thank my lab members, Brandon Yardy, Alan Nielson, Chantel Fouillard and Kyle Plotsky for their support in the lab as well as in the field.This section is incomplete if I don't mention my family at this moment.First I must thank my two little girls Piyumini and Sithumini for their tolerance and for agreeing to live without father for whole summer.I'm indebted to Soba for carrying the burden of family with two kids throughout the time, especially while enrolled in a graduate programme herself.I would like to thank my father and mother for understanding my never ending quest for knowledge and my passion for the nature.
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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) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».