MétaCan
Menu
Retour à la cohorte
Enregistrement W2302815773

Open source software - Is it real treatment for public sector's software needs?

2005· article· en· W2302815773 sur OpenAlexaboutno aff
Gábor László

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueE-Government and Public Services
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPublic sectorSoftwareInformation and Communications TechnologyComputer scienceUsabilitySoftware developmentPublic relationsSoftware engineeringKnowledge managementData scienceManagement scienceEngineeringWorld Wide WebPolitical scienceEconomicsEconomy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Open source software history takes as long as computer program history. Programmers at the beginning of computing used to programming for free software model and history now just reached back to (the root) community model. One can say: “There is no new under the Sun.” But the raised question is about the suitability and usability of these software products for public sector. There are advantages as well as disadvantages… “The coins always have more than one side.” There are many initiatives for using OSS in governmental work, but the real success has not come out yet. The research tries to set-up a theory and quantifies the advantages of OSS against the proprietary software (based on social, technical and economic approaches) thereby contribute to the academia and practice. The difficulty of the research is its complexity. None of above mentioned factors can be examined alone. There is close correlation between these factors. At this stage in this research have the main goals to focus on political and economical influences of OSS and to make a theoretical model for an economically reasonable decision for public sector. This paper examines the reasons why was raised the question about using free software in public sector and try to answer the question why are suitable if suitable these software for public sector. 1 BACKGROUND OF PUBLIC SECTOR’S SOFTWARE NEEDS Industrial nations are undergoing dramatic economic and social transformation. This transformation is characterized by the rapid growing amount of information, wide-ranging implications of Information Communication Technology (ICT) and their impact on the whole economy and the growth of global competition. The societies are in transition to the “Knowledge Society”. ICTs changed the World and the societies. ICTs can provide higher life standard for people. Opposite the higher standard there is the digital divide. The ‘digital divide’ is an umbrella term. Commonly understand the gap between ICT ‘haves’ and ‘have-nots’. Generally, it has two main approaches. One focuses mainly on actual connectivity – infrastructure and access. Worldwide, the gap between those who have access to the Internet and those who do not is enormous. According to the Neilsen/Netratings study as of the first quarter of 2001, only 6% of the World’s population had access to the Internet. Of that 6%, 41% comprised of people living in the United States (US) and Canada. 2 Another approach beyond connectivity is the ICT literacy and skills linked to access that does not mean only access to infrastructure, but it has financial, cognitive institutional and political and social cohesion aspects. In reality, many divides exist: both the internal country divides, as well as divides across countries. Today, governments, business, international and nongovernmental organizations have numerous initiatives to eliminate the ICT-related inequities, not just the result of economic differences in access to technologies, but also in cultural capacity and political will to apply these technologies for development impact. The economy can not eliminate the gap alone, so “intervention” of governments is needed. Around the world number of programs exist to manage this problem. National intellectual capital and innovation are based on human resources that is why so important to strengthen the equality by the governments. Government has special obligations as to protect the integrity, confidentiality and accessibility of public information, to protect the privacy of its citizens, to educate the “next generation”, to creation job and careful management of budget. Government’s functions and operations can only handle by using software applications. The software that is used by governments and controls, handles, transmits the citizens’ personal data have to be transparent to protect citizens rights to privacy. The reason why this paper examines the governemnts role is the size of Public Authorities that are quite different around in the each country from a small villages to a big city. Similar patterns, but different needs. The size determines the role and needs of different PA’s. They also have common difficulties and dilemmas (e.g. they have to change data with other authorities and the central government) and different local “problem”. The solutions differ for each PA’s depend on their demand. Insted of making solution of islands it’s time to thinking holistic. Top-down planning for bottom-up problem that means the government has to make a common guidlene and a common interface. The solutions to new challenges require new approaches just as knowledge mapping and knowledge management within the governmental work. 1.1 Roles of the Governments The Digital Economy transforms governments and also the role of the governments mainly in those areas where the economy is most affected by changes of ICTs, and where the markets would not meet the requirements of social and economical stability. Governments play important roles in creating the proper environment for ICT development, and also have a significant leading role as users of these technologies by creating new modes of behavior in the public at large.

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)0,025
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesScience ouverte
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,999
Score d'incertitude au seuil0,071

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,025
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0030,004
Études des sciences et des technologies0,0030,007
Communication savante0,0110,021
Science ouverte0,0010,004
Intégrité de la recherche0,0040,004
Charge utile insuffisante (le modèle a refusé de juger)0,0210,006

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 Opus0,089
Tête enseignante GPT0,340
Écart entre enseignants0,250 · 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.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2005
Routes d'admission1
Résumé présentoui

Explorer davantage

Même sujetE-Government and Public ServicesTravaux en français237 207