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Record W2280945595 · doi:10.1111/add.13318

Building social and population science in alcohol and other drug studies

2016· editorial· en· W2280945595 on OpenAlexaboutno aff
Robin Room

Bibliographic record

VenueAddiction · 2016
Typeeditorial
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsnot available
FundersForskningsrådet om Hälsa, Arbetsliv och Välfärd
KeywordsGovernment (linguistics)CurriculumPopulationPublic relationsAddictionPoliticsSocial workMedicineMedical educationPolitical scienceSociologyLawPsychiatryEnvironmental health

Abstract

fetched live from OpenAlex

Social and population research in alcohol and other drug studies is needed in any society with substantial substance use. Because the field is peripheral in professions, academic disciplines and government departments, and social and population research does not qualify as ‘high science’, specific arrangements are needed for its support. The arena of knowledge covered by Addiction is not central to any traditional profession or academic discipline. As Jim Rankin once put it, ‘the drug and alcohol field does not fit into any single professional area: it is truly interdisciplinary, and therein lies both its professional strength and its political weakness’ 1. In medicine, for instance, efforts to gain coverage of alcohol issues in the basic medical curriculum, even when successful, tend to be abandoned when the next ‘reform’ comes along. For other professional schools, whether of welfare, public health or criminology, our arena is also peripheral. In academic departments, it is a rare undergraduate curriculum which has more than a few lectures specifically on alcohol, tobacco or drugs. For biosciences, while alcohol and drugs is an arena from which much research funding is sought, again it is not at the heart of any discipline. Specialists in our arena are thus not required for the teaching faculty either in professional schools or in academic departments; we have ‘not managed to acquire an established tag and compartment in the system’ 2. Also in governments, many agencies are involved in alcohol, drug or tobacco issues; a British official report once counted 16 government departments with ‘major policy interests in alcohol’ 3, but the issues are not defined as central to any of them. When departments are reorganized, societal responses on such peripheral concerns—agencies, advisory committees, monitoring mechanisms—are often swept away or subordinated in a merger. Thus, leading government-funded alcohol and drug research centres, for instance, in Ontario, Norway and Finland, have been folded into more general-purpose centres, with an eventual reduction in the research effort in alcohol and drugs. The marginality of alcohol and drug issues to professions and academic disciplines means that how decisions on government funding of research are set up is crucial to how and to what extent research in the field develops. Alcohol and drugs do not do so well with general-purpose research funding bodies, such as Vetenskapsrådet (Research Council) in Sweden or the National Health and Medical Research Council (NHMRC) and Australian Research Council (ARC) in Australia. Few grants which those in the field would regard as central to it are funded, although the bodies can often point to a longer list of grants which touch on alcohol or drugs more peripherally. In an environment of generalized grants announcements, and review panels composed primarily from faculties of university teaching departments, proposals centring on alcohol and drug problems are handicapped by the field's peripherality to the main concerns of panel members. A minimal solution is to set up a parallel research funding agency which focuses on research on major social problems. Sweden's FORTE (Swedish Research Council on Health, Working Life and Welfare), a separate body from the general Research Council, for instance, defines its mandate as: ‘research that concerns everyone and provides the basis for the development of the individual and society at large,… both basic and needs-driven research which means that the results benefit both research and society’ 4. FORTE's position and its commitment to alcohol and drug research have not been very stable; the agency's name and boundaries of interest have changed twice in the past decade. However, FORTE's framing translates into support for research attuned to problems as they are manifested and handled in the particular society, rather than privileging topics with high academic prestige. A more focused solution is the US National Institutes of Health's separate institutes for alcohol and drug problems; but, even with this compartmentalization, the emphasis in funding has tended to drift away from research of practical social value. Midanik 5 has documented the shift towards increasing biomedicalization in the US alcohol research portfolio. The focus on the ‘brain disease’ facet of alcohol and drug problems can be seen as privileging academic prestige over practical value. The academics on the review committees tend to assign priorities primarily in terms of a generalized concept of ‘science’, and secondarily in terms of potential market exploitability of products of the research. In some lines of research in our field, such as most biomedical research, findings are not specific to a particular society. For instance, what can be learned relevant to human alcohol use from alcohol-preferring rats, genetic variants originally bred in Chile and Finland, can just as well be studied in the United States 6. Conversely, findings from research on patterns of behaviour and of many related harms—injuries, family problems, crimes—are often specific to a society, or to subpopulations within it, not only because there are specific behavioural norms affecting the behaviour, but also because of the societal specificity of reactions to the behaviour and of the institutions for handling it. Given the problems that come with the behaviours, any society in which there is substantial alcohol, tobacco or drug use can benefit from providing for pragmatically orientated social and population research on levels and patterns of use, rates and conditions of occurrence of problems, and the effects of policies for prevention and for social responses to the problems. The research programme should, on one hand, be orientated pragmatically, including evaluations of preventive and ameliorative measures. On the other hand, it should also allow for generative research that can point to practical paths outside the current governing image of social responses to the drug 7, as the experience over the last century is that this is subject to radical change over time. There will be variation from one society to another in how such a programme will best be organized, whether in the form of government-funded research centres in the field, specific grants programmes or otherwise. Given our field's wide spread across and peripherality to academic disciplines and government departments, experience suggests that a substantial core research commitment needs to be earmarked to the field. A continuing investment in social and population research and evaluation is needed in any society with a substantial amount of psychoactive substance use, and of heavy use 8. Such research is unlikely to be conducted without specific governmental provision for it. Given the considerable socio-cultural variation in whether and how policy processes pay attention to research findings 9, attention should also be paid to communication between researchers and policymaking. Arrangements for the research should encourage mutual influence between research and the policy process, but needs to ensure that researchers are enabled to think and report independently and outside current policy boxes. R.R.'s salary is supported primarily from a centre core grant from the Foundation for Alcohol Research and Education, an independent, not-for-profit organisation that has no funding from industry sources. Thanks to Jenny Cisneros Örnberg and Matilda Hellman for their comments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.228
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.364
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2016
Admission routes1
Has abstractyes

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