Hayes, Godfrey Harry: my naval experiences (March 25, 2005)
Notice bibliographique
Résumé
ABSTRACT: Captain Godfrey Hayes Royal Canadian Navy Born in Winnipeg in 1919, Hayes from a young age desired to travel. Lacking the means to travel as a passenger, after high school he enrolled in HMS Conway, a British training vessel in the hopes of earning his passage as a merchant seaman. Upon graduation from Conway, Hayes received a commission in the RNCR, and was to return for naval training when he had completed his merchant apprenticeship with the Silver Line. Serving as a merchant apprentice, Hayes made numerous trips from the US coast, around the horn of Africa, to India and back, but was mobilized by the RNR before he received any naval training. Experienced as a merchant navigator, Hayes was first assigned to an old ferry participating in the Dunkirk evacuation, where he was sunk on his second trip (see the Hal Lawrence Collection for details of this and Hayes' other pre-RCN experiences). Transferred to the RCNVR because of its better pay rates, and was assigned to HMCS Trillium, one of the first ten Canadian built corvettes as navigator. Initially intended for RN service, Trillium was re-commissioned an HMC ship due to RN personnel shortages. Initial impressions of Trillium and RCN crew compared to RN: a small ship, crew informal in bearing and dress, "rough and ready." Left Trillium in Sept. 1942 to get second mate's ticket in Sept. 1942, strictly civilian, still no naval training. Assigned to HMCS Kenogami as XO, essentially as assistant Captain to aid an inexperienced officer who had requested help on convoy duty. Spent almost a year aboard, left in October 1943 to take Command Course in Halifax, his first true naval course. Discusses details of the course, mostly review, no weapons training, good ASW simulator. Notes that when appointed ASDIC control officer aboard Trillium, didn't know what ASDIC was. Discussion of morale aboard Trillium and Kenogami and factors affecting it. Discusses the equipment aboard Trillium and Kenogami, notes that Trillium (RN owned/maintained although an HMC ship) received upgraded equipment (in Texas) that Kenogami later lacked. Talks about living conditions aboard corvettes, seasickness. Discussion of discipline problems, rare, but often dealt with by "mess deck discipline," sometimes at suggestion of officers. After command course, did five months as workup officer at Pictou, explains the details of a "workup," ASW drills, damage control drills etc. Next assigned to command HMCS Guelph, equipped with hedgehog and advanced ASDIC. Embarrassed to note that Guelph failed her workup, although he conducted it himself. Feels that the RCN has been treated harshly by historians, notes the disparity in RN/RCN equipment. Discusses training issues, believes that it varied from ship to ship depending on quality of officers and senior ratings. Argues that weather was the most difficult factor aside from enemy action. Discussion of importance of dedicated A/S hunter groups (as opposed to escort groups), feels that they played as big a role in the victory over the u-boats as aircraft.
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 | 0,002 | 0,003 |
| 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 | 0,018 | 0,002 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,002 | 0,006 |
| Intégrité de la recherche | 0,004 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,072 | 0,017 |
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 ».