The Road to Transformation: Ascending from the Decade of Darkness
Notice bibliographique
Résumé
Nobody likes mistakes. Fewer yet like to revisit errors—to analyze, discuss or study them. They are often an embarrassment and remind us of our fallibility and shortcomings. It is always much easier to celebrate our achievements and successes—that leaves everyone with a warm feeling. However, although it is always preferable to avoid making mistakes, once they occur they are important and must be recognized as such. They speak to our weaknesses as both individuals and institutions. They are signals, if not alarms, to warn us of deficiencies that must be addressed. In fact, it has often been said for good reason that one can learn more from one’s mistakes than from one’s successes.\nThe military has always been bad at accepting this premise. Mistakes are often construed as a sign of weakness or inability and many perceive them as potential career-ending events. Such a zero tolerance to mistakes breeds an environment of risk aversion, micro-management and stagnation. It kills initiative and experimentation. And, it avoids examining mistakes in detail—lest blame insidiously spread its evil tentacles and taint others in the chain of command. However, this state affairs leads to atrophy within an organization.\nIt takes strong will and determination to break such a cycle. Normally, crisis is the only catalyst that compels leadership within an organization to take action, and even then it is difficult. The Department of National Defence (DND) and the Canadian Forces (CF), particularly the officer corps, found themselves in such a situation in the late 1980s and 1990s. By 1997, they were at the lowest ebb of their history. They had lost the confidence and trust of the government and Canadian people they served. They were stripped of their ability to investigate themselves. Furthermore, they were not trusted to implement the recommended changes forced upon them by the government and an external committee was established as a watchdog. Whether the leadership wanted to admit it or not, and they vehemently denied it at the time, there existed some substantial and deep rooted problems with DND, the CF and the officer corps. They were caught in a decade of darkness.
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 | 0,007 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,019 | 0,034 |
| Communication savante | 0,027 | 0,029 |
| Science ouverte | 0,001 | 0,023 |
| Intégrité de la recherche | 0,004 | 0,015 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,018 | 0,005 |
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 ».