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Record W1997821842 · doi:10.1176/pn.39.13.0390002

Women's Depiction in Drug Ads: Holdover From a Bygone Era?

2004· article· en· W1997821842 on OpenAlexaboutno aff
Joan Arehart-Treichel

Bibliographic record

VenuePsychiatric News · 2004
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsDepictionMental healthPsychiatryMedicinePsychologyArtLiterature

Abstract

fetched live from OpenAlex

Back to table of contents Previous article Next article Professional NewsFull AccessWomen's Depiction in Drug Ads: Holdover From a Bygone Era?Joan Arehart-TreichelJoan Arehart-TreichelPublished Online:2 Jul 2004https://doi.org/10.1176/pn.39.13.0390002In spite of the expansion of women's roles over the last 20 years, ads for psychotropic drugs in scientific journals often persist in portraying women in traditional settings and roles.A study that led to this finding was conducted by Donna Stewart, M.D., chair of women's health at University Health Network and the University of Toronto in Canada, and colleagues. Results appeared in the April Journal of Nervous and Mental Disease.In their study, Stewart and her colleagues examined how often women and men were portrayed in psychotropic drug ads placed in three psychiatric journals during three different time periods. The journals were the American Journal of Psychiatry, Canadian Journal of Psychiatry, and British Journal of Psychiatry. The study periods were 1981, 1991, and 2001.The proportion of women and men displayed in ads in all three journals in 1981 was about equal, the researchers found. However, the proportion of women had increased to 80 percent in the Canadian Journal of Psychiatry in 2001 and to 88 percent in the American Journal of Psychiatry in 2001. In contrast, the proportion of women portrayed in the British Journal of Psychiatry in 2001 had declined to 40 percent.Trying to impart meaning to the findings, the researchers noted that given that women are known to be more at risk of depression than men, one possibility is that more antidepressant ads are run in these two journals today than in the earlier years and that women are depicted in the ads more often because they are more likely to seek treatment for depression. In fact, the researchers learned, only women were displayed in antidepressant ads in the American Journal of Psychiatry in 2001. But another reason why women appear in more psychotropic drug ads in the Canadian Journal of Psychiatry and the American Journal of Psychiatry today, the researchers suspected, may be a form of gender discrimination against women.In fact, when the researchers examined the types of roles in which women and men were cast in the ads in the three journals across the three time spans studied, they found that most of the men were portrayed at work or in professional roles, implying productivity, independence, and a higher socioeconomic status, while most of the women were shown at home, in the garden, in a social situation, or asleep, implying traditional and dependent work roles."These findings," the investigators suggested, "seem to indicate that, despite the great diversification and expansion of women's roles over the last 20 years, there is a consistent tendency in pharmaceutical advertising to represent women submissively (i.e., sleeping) or even in a sexualized manner (i.e., well-dressed, slim, younger, attractive) in traditional settings and roles...."Stewart told Psychiatric News that she hoped clinical psychiatrists will "look beyond the images in pharmaceutical advertisements, which may not accurately reflect the images of many patients suffering from depression or psychosis—multicultural patients, men, the poor, the elderly, the disabled, and the physically unglamorous."An abstract of the study, "Who Is Portrayed in Psychotropic Drug Advertisements?," can be accessed online at<www.jonmd.com> by clicking on the April issue and then the article title. ▪ ISSUES NewArchived

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.230
GPT teacher head0.491
Teacher spread0.261 · 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.

Study designNot applicable
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

Citations0
Published2004
Admission routes1
Has abstractyes

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