MétaCan
Menu
Retour à la cohorte
Enregistrement W2530738006

Submission to the Senate Economics References Committee on the 2016 Census

2016· article· en· W2530738006 sur OpenAlexaboutno aff
Monique Mann, Matthew Rimmer

Notice bibliographique

RevueQUT ePrints (Queensland University of Technology) · 2016
Typearticle
Langueen
DomaineMathematics
ThématiqueCensus and Population Estimation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCensusPopulationGovernment (linguistics)American Community SurveyPolitical scienceWork (physics)Public administrationLawPublic relationsSociologyEngineering
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

<em><font size="2">Executive Summary</font></em> <b>Terms of Reference</b> The Economics Reference Committee of the Senate Standing Committee on Economics of the Australian Parliament has been asked to investigate the 2016 Census, with particular reference to - the preparation, administration and management on the part of the Australian Bureau of Statistics (ABS) and the Government in the lead up to the 2016 Census; - the scope, collection, retention, security and use of data obtained in the 2016 Census; - arrangements, including contractual arrangements, in respect of the information technology aspects of the Census; - the shutting down of the Census website on the evening of 9 August 2016, the factors leading to that shutdown and the reasons given, and the support provided by government agencies, including the Australian Signals Directorate; - the response rate to the Census and factors that may have affected the response rate; - privacy concerns in respect of the 2016 Census, including the use of data linking, information security and statistical linkage keys; - Australia’s Census of Population and Housing generally, including purpose, scope, regularity and cost and benefits; - the adequacy of funding and resources to the ABS; - ministerial oversight and responsibility, and; - any related matters. This joint submission has its origins in our research, public policy work, and community engagement at the Queensland University of Technology around the Census 2016. We provided expert commentary in the media during the controversy. The topic is of interest to both intellectual property and media law, and criminal law and justice. This joint submission by two legal researchers makes the following recommendations to the inquiry into Census 2016: <b>Recommendations</b> <i>Recommendation 1</i> - In the United States of America and the European Union, there has been a history of misuse and abuse of Census data. Such history highlights the need for appropriate protection of individual anonymity, confidentiality, privacy, security, and secrecy. <i>Recommendation 2</i> - The preparation, administration and management on the part of the Australian Bureau of Statistics (ABS) and the Government in the lead up to the 2016 Census was inadequate. The privacy assessment was cursory and lacked independence and impartiality. There was a lack of genuine consultation with the public, civil society, privacy experts, and information security specialists about the 2016 Census Model. <i>Recommendation 3</i> - The Australian Bureau Of Statistics has taken an overly broad approach to the collection, retention, and use of data obtained in the 2016 Census. <i>Recommendation 4</i> - Names and addresses (and other data at a personally identifiable level) should not be collected in the Census, and any data of this nature collected be destroyed. <i>Recommendation 5</i> - The Australian Bureau of Statistics should not create Statistical Linkage Keys (SLKs). <i>Recommendation 6</i> - That previous or future Australian Bureau of Statistics data breaches are disclosed and subject to formal inquiry. <i>Recommendation 7</i> - The Australian Bureau of Statistics should stripped of the power to make threats and issue fines in light of the importance of voluntary participation, informed consent, and research ethics. <i>Recommendation 8</i> - There is a need to overhaul contractual arrangements in respect of the information technology aspects of the Census. <i>Recommendation 9</i> - That oversight and accountability processes be strengthened, either through a more active role of the Office of Australian Information Commissioner (OAIC); or the completion of an independent and transparent Privacy Impact Assessment. <i>Recommendation 10</i> - Caution must be exercised in the interpretation and use of the 2016 census data due to the issues that arose during its administration, and the subsequently lower than usual response rate. <i>Recommendation 11</i> - The Federal Parliament should implement the recommendations of the Australian Law Reform Commission in respect of the introduction of a statutory cause of action for serious invasions of privacy. <i>Recommendation 12</i> - It is worthwhile comparing the experience of the 2016 Census in Australia with the 2016 Census in Canada. While Canada enjoyed a high completion rate of its census, Statistics Canada did experience significant problems in respect of information technology. Moreover, there have been conflicting legal precedents in Canada about the imposition of fines for non-completion of the mandatory census.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,543
Score d'incertitude au seuil0,191

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,043
Tête enseignante GPT0,256
Écart entre enseignants0,213 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
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
Publié2016
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueQUT ePrints (Queensland University of Technology)Même sujetCensus and Population EstimationTravaux en français237 207