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Enregistrement W4401809648 · doi:10.55016/ojs/sppp.v8i1.42551

2015 Status Report on Major Defence Equipment Procurements

2015· article· en· W4401809648 sur OpenAlexafffundabout
David Perry

Notice bibliographique

RevueThe School of Public Policy Publications · 2015
Typearticle
Langueen
DomaineEngineering
ThématiqueTechnology Assessment and Management
Établissements canadiensGlobal Affairs Canada
Organismes subventionnairesMinistère de la Défense NationalePublic Works and Government Services CanadaCanadian Armed Forces
Mots-clésProcurementBusinessMarketing

Résumé

récupéré en direct d'OpenAlex

Federal elections may be good for democracy, but the campaigns — particularly the lengthy one recently held in Canada — can be crippling for plans to better arm our military. Just before the election was called, there were public signs of important progress being made in what has long been a frustratingly slow and bureaucratically complex procurement process. But then the campaign left the Department of National Defence and other federal departments unable to secure approvals from either a defence minister or the Treasury Board, until the election ended and the new prime minister appointed the current cabinet. There had already been upheaval prior to that: In the first seven months of 2015, the three senior leaders at the Canadian Forces and the Defence Department (including the minister) had been replaced, along with many other people critical to the procurement process. In addition, there had been changes in the Public Works Department and the Defence Procurement Strategy Secretariat. Frustrating and disappointing delays have long been a matter of course in Canada’s defence procurement process. In 2014/15, the number of ministerial or Treasury Board approvals to allow projects to proceed was half of that in 2009/10. Yet the demand for approvals has not abated. In addition to the turnover of key figures involved in the procurement and approval process, delays have come from a number of major steps added to the process, making an already lengthy and complex system even more so. To be sure, these steps were added in the pursuit of improved financial management and project management, with the aim of addressing longstanding problems. But it will take years to see if those objectives have been realized. An irony here is that the budget for military procurement has increased. Between 2004 and 2009, the Defence Department’s procurement budget nearly doubled. But the funding was never matched by the capacity to manage it. In 2003, the Material Group had a ratio of 2,600 staff for every $1 billion in procurement funds. By 2009, the ratio had become 1,800 staff for every $1 billion in procurement funds. Since then, the ratio has only gotten substantially worse. New systems now require extensive analysis to determine if a more intensive Treasury Board review is required. A recently created panel designed to provide a “third-party challenge function” on requirements for major procurements has created some confusion among officials as to what documentation they should be producing to support procurement initiatives. And the panel’s terms of reference are extensive, ranging from evaluating a project’s alignment with government policy and the level of its fit with allies’ capabilities, to the role of Canadian suppliers and the anticipated support concept. Still, there are some indications that changes enacted in 2014 to the procurement process may eventually help mitigate delays in the future. There are continual improvements being made to the way the Defence Department conducts project costing as well as how the Treasury Board Secretariat evaluates the costs, which will help improve the compatibility between estimates and newly introduced frameworks. New methods of better prioritizing projects have also been introduced. And there are plans underway intended to reduce the time involved in the department’s internal approval processes. For now, however, these attempts at improvement have been focused on the lower-dollar-figure approvals done by the minister. It remains to be seen if, first, they work, and secondly, if they can then be used to facilitate Treasury Board approvals, as well.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,205
Score d'incertitude au seuil0,687

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,007
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0050,005
Études des sciences et des technologies0,0020,000
Communication savante0,0050,004
Science ouverte0,0020,003
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,2050,126

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.

Tête enseignante Opus0,056
Tête enseignante GPT0,330
Écart entre enseignants0,274 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2015
Routes d'admission3
Résumé présentoui

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