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Enregistrement W2200718513 · doi:10.1111/add.13086

Fine‐tuning Livingstone and Adams' ethical principles for integrity in gambling research

2015· article· en· W2200718513 sur OpenAlexaboutno aff
Linda Hancock

Notice bibliographique

RevueAddiction · 2015
Typearticle
Langueen
DomainePsychology
ThématiqueGambling Behavior and Treatments
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésConflict of interestTobacco industryPublic interestGovernment (linguistics)Research ethicsPublic relationsPolitical scienceEconomicsLawSociologyMedicinePsychiatry

Résumé

récupéré en direct d'OpenAlex

There is clearly a need for ethical principles to guide integrity in gambling research. Some fine-tuning on these principles and an iterative process for edit, review and sign-off has potential to rise above the cosy vested-interest industry–government research agenda that blames individuals for gambling-related harms and protects ‘business as usual’. Livingstone & Adams have put forward five principles for integrity in gambling research, aimed at countering the current inertia in progressive public interest research 1. This is a welcome initiative, which has been under discussion for some time. It is a start to settling on some principles. However, their first principle is more complicated than it looks. The funding for research has to come from somewhere, and independent national academic funding bodies have been slow to recognize the need for investment in progressive gambling research. Conducting research at arms-length from industry funding has been handled quite successfully by VicHealth, the independent public health research body in Victoria, Australia, funded from the tax on tobacco 2. Principle 1, therefore, needs to address industry direct funding of research, conflict of interest and industry dominance over research priorities, to avoid vetoing research where publicly derived funds, e.g. via taxation, are used for independently commissioned research. Livingstone has conducted independent research under such funding from the independent Gambling Research Panel, which was funded indirectly from gambling taxes 3, and the UK charity StoptheFOBTs campaign, which is funded by a retired international poker player 4. To enshrine independence, the first principle also needs the added stipulation: ‘or funded or conducted via any form of involvement of or partnership with the gambling industry or government’. Of relevance to all jurisdictions with licensed gambling, the internationally lauded Australian Productivity Commission inquiry recommended that a national independent research institute be established 5, 6. A new second principle could stipulate that research should be conducted by an independent statutory national institute which reports to Parliament. Independence would be driven by public interest governance and research priorities on consumer protection, prevention of harm and a veto on industry involvement. The third principle addresses the need to differentiate industry conferences and forums from credible independent research conferences. As Livingstone & Adams argue, academic attendance at industry conferences ends in compromise. This needs to strongly exempt any industry sponsorship or formal participation and could develop international conference accreditation. Conference accreditation could be conducted by an international board or committee elected by independent researchers who commit to independent research conferences, workshops and symposia. The fourth principle, requiring full funding source disclosure in journals and at conferences, highlights the need for stringent standards for both editors and contributors. Moreover, some of the leading researchers internationally, have conducted unpublished research funded for undisclosed amounts by the gambling industry, while at the same time presenting their other research as independent and free of industry influence 7. Disclosure of any life-time industry funding would overcome this hurdle. The fifth principle attempts to incorporate much-needed research access to gambling venues, products and internal industry working documents, such as industry-funded research reports and analysis. For tobacco, landmark US litigation resulted in the disclosure of covert tobacco industry research and corporate and political activity, resulting in greater transparency 8. Stronger wording would recognize that access for research must be part of the regulatory contract. Public interest principle-driven research has the potential to rise above the cosy research agenda that blames individuals for gambling-related harms and protects ‘business as usual’ gambling industry/government vested interests. In the future, the proposed website can bring together a consortium of ethical researchers to drive this agenda internationally. The author is a Chief Investigator in an Australian Research Council Linkage Grant investigating mechanisms of industry influence in the tobacco, alcohol and gambling industries. She has conducted many international independent reviews, including for Canadian governments. She has received no funding directly or indirectly from gambling or alcohol industry sources for any purpose.

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)0,323
score de la tête « metaresearch » (Gemma)0,429
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Intégrité de la recherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: Méthodes · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Méthodes · Signal consensuel: aucune
Score de désaccord entre enseignants0,958
Score d'incertitude au seuil0,835

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,3230,429
Méta-épidémiologie (sens strict)0,0010,003
Méta-épidémiologie (sens large)0,0030,003
Bibliométrie0,0020,002
Études des sciences et des technologies0,0120,097
Communication savante0,0300,025
Science ouverte0,0080,021
Intégrité de la recherche0,0420,072
Charge utile insuffisante (le modèle a refusé de juger)0,0050,004

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 Opus0,545
Tête enseignante GPT0,529
Écart entre enseignants0,017 · 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; l’étiquette directe de Gemma et le classifieur distillé Codex s’accordent sur ce qui est montré ici.

Devis d'étudeThéorique ou conceptuel
DomaineMéthodes
GenreMéthodes

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

En bref

Citations5
Publié2015
Routes d'admission1
Résumé présentoui

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