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Record W2002756308 · doi:10.1037/h0086981

Towards more assertive advertising practices: An evolutionary, not revolutionary, step forward.

2004· article· en· W2002756308 on OpenAlexaboutno aff
N. Will Shead, Keith S. Dobson

Bibliographic record

VenueCanadian Psychology/Psychologie canadienne · 2004
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmaceutical industry and healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyAssertivenessEvolutionary psychologySocial psychology

Abstract

fetched live from OpenAlex

Abstract We presented arguments in favour of loosening self-imposed restrictions on advertising by psychologists (Shead & Dobson, 2004). Dr. Koocher's commentary on our paper suggested that these practices may, in fact, be viable. We view the implementation of these strategies as part of an evolution in advertising within the field of psychology, rather than a revolution that aims to encourage extreme business practices. A review of the historical changes in advertising practices by psychologists in North America indicates that progress has been slow (Shead & Dobson, 2004). Although regulatory bodies have tended to liberalize their guidelines concerning advertising practices, it appears that individual psychologists continue to favour a more traditional approach to announcing their services. Specifically, three types of advertising strategies that were once subject to disciplinary action are now typically permissible under current regulatory guidelines: 1) claims of unusual, unique, or one-of-a-kind abilities; 2) claims of the comparative desirability of one service over another; and 3) the use of statements appealing to a client's fear and anxiety if services are not obtained. Despite their official acceptability, the majority of advertisements abide by a time-honoured template that consists of very little distinguishing information about services offered. We presented arguments to suggest that each of the above three advertising approaches could be implemented in a manner that is consistent with ethical standards (Shead & Dobson, this issue). It is our contention that the movement towards more assertive advertising would be beneficial for both the psychologist, in terms of recruiting potential clients, and for the public, in terms of providing valuable information about available services. Dr. Koocher's response to our paper suggested that these practices may, in fact, be viable (Koocher, this issue). He also includes an opt-out clause, however, noting that if these recommendations do not end up benefiting both psychologists and public stakeholders, then the blame can be placed on Canada. His response suggests our recommendations were revolutionary in nature. It was not our intention to revolutionize the way psychologists advertise, however, but to present arguments in favour of practices that seem long overdue. As noted above, the current approach to advertising professional services has changed very little in recent decades. The arguments we present seem in line with practices that might currently be employed had the discipline followed a more natural evolution. We were careful, however, not to suggest the deployment of distasteful and unscrupulous business practices that potentially benefit the professional more than the potential consumer. Other professions have begun to approach, or in some cases may have already crossed, the crooked line between assertive advertising and unscrupulous business. Today's marketplace has many examples of avaricious practices that aim to prey on naive consumers. …

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.050
metaresearch head score (Gemma)0.051
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.050
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0500.051
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0050.029
Scholarly communication0.0140.014
Open science0.0030.006
Research integrity0.0120.015
Insufficient payload (model declined to judge)0.0040.001

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 head0.450
GPT teacher head0.570
Teacher spread0.120 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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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