MétaCan
Menu
← Back to cohort
Record W2161723297 · doi:10.1177/1524500414545564

Excited to Join the <i>SMQ</i> Family

2014· article· en· W2161723297 on OpenAlexaff
Sameer Deshpande

Bibliographic record

VenueSocial Marketing Quarterly · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Socioeconomic Development
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsRothschildSocial marketingJoin (topology)SociologyPolitical scienceMedia studiesPublic relationsLaw

Abstract

fetched live from OpenAlex

Excited to Join the SMQ FamilySeventeen years ago, fresh off the boat, professor Michael Rothschild of the University of Wisconsin-Madison exposed me to the exciting world of social marketing.I took to social marketing like an Indian to spice, because I was impressed by what this framework could do to facilitate behavior change.As I read through the academic writings of Andreasen and Rothschild and case studies from South Asia, sub-Saharan Africa, and the Anglo-American world, I noticed that social marketing had gone through tremendous positive changes; yet some things, unfortunately, remained the same.On the positive side, the field has grown in several directions.Dozens of universities and educational institutions around the world now offer semester-long courses, host research centers, and encourage their staff and students to conduct research studies that use social marketing to tackle social issues.Two academic journals are dedicated exclusively to the field, including Social Marketing Quarterly (SMQ), currently celebrating 20 years of publication.Several social marketing associations operate at regional and international levels, organizing conferences to bring together passionate individuals.And organizations of all types-including governments, foundations, nonprofits, and businesses-are slowly but surely embracing a social marketing framework in their behavior change efforts.On the academic front, we are witnessing the maturation of the social marketing evidence base, which is increasingly being expanded through better evaluation approaches including systematic reviews and meta-analyses, and applied using theory from diverse disciplines such as behavioral economics, neuroscience, and anthropology.However, fundamental challenges to the understanding of the social marketing framework remain.Issues with positioning of what social marketing stands for have existed from its origins and vary from region to region.In the Anglo-American world, social marketing is perceived as a communication-only strategy, while in Asia and Africa, social marketing is perceived as useful only in promoting contraceptives for family planning and preventing sexually transmitted diseases.Both of these perceptions prevent the sector from growing.Using the label of social marketing, some managers employ communication-only strategies to influence behavior; with a few exceptions, most of them end up being ineffective and inefficient, as they ignore core concepts such as audience orientation, marketing strategy, and behavioral evaluation.As a result, other social change managers write off the framework.Additionally, when social marketing is perceived to promote only contraceptives, social change actors in sectors including environment, injury prevention, peace building, governance, and financial savings neglect its rich and useful learnings.Social marketing also suffers from a lack of its own theoretical foundations.We continue to remain heavily indebted to the conceptual contributions of commercial marketing and health communications, and we have yet to branch out on our own.Numerous committed academics and practitioners, too many to name here, are making valiant efforts to address some of these misperceptions, improve our positioning, and enable social marketing to establish a true identity.Through research, teaching, and training, I attempt, in my humble way, to aid that process.I would like to use my platform as the newly minted coeditor of SMQ to further these efforts.SMQ has a rich tradition of serving as the hub of excellence for both the theory and practice of social marketing.Our editorial team remains dedicated to furthering these twin objectives.In my short tenure

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)0.002
metaresearch head score (Gemma)0.007
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: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.100
Threshold uncertainty score0.336

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0130.002
Scholarly communication0.0040.004
Open science0.0010.004
Research integrity0.0030.010
Insufficient payload (model declined to judge)0.1000.050

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 head0.011
GPT teacher head0.207
Teacher spread0.196 · 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
GenreEditorial

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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueSocial Marketing Quarterly→Same topicInnovation and Socioeconomic Development→French-language works237,207→