The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Transforming gifts into talents: the DMGT as a developmental theory1
Abstract
The Differentiated Model of Giftedness and Talent (DMGT) presents the talent development process (P) as the transformation of outstanding natural abilities, or gifts (G), into outstanding systematically developed skills which define expertise, or talent (T) 3 in a particular occupational field. This developmental sequence constitutes the heart of the DMGT. Three types of catalysts help or hinder that process: (a) interpersonal (I) catalysts, like personal traits and self‐management processes; (b) environmental (E) catalysts, like socio‐demographic factors, psychological influences (e.g., from parents, teachers, or peers), or special talent development facilities and programs; and (c) chance (C). The DMGT includes a 5‐level metric‐based (MB) system to operationalize the prevalence of gifted or talented individuals, with a basic ‘top 10 per cent’ threshold for mild giftedness or talent, through successive 10 per cent cuts for moderate, high, exceptional and extreme levels. Complex interactions between the six components are surveyed. The text ends with a proposed answer to a fundamental question: ‘What factor(s) make(s) a difference, on average, between those who emerge among the talented and those who remain average?’
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Schmidt, F. L., & Hunter, J. E. (1998) · Psychological Bulletin · doi:10.1037//0033-2909.124.2.262 · Cited by 4,180
Human Cognitive Abilities: A Survey of Factor-Analytic Studies
Carroll, J. B. (1993) · doi:10.1017/cbo9780511571312 · Cited by 4,121
PINKER, S. (1999) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1999.tb08538.x · Cited by 3,738
Expert performance: its structure and acquisition.
Ericsson, K. A., & Charness, N. (1994) · American Psychologist · doi:10.1037/0003-066x.49.8.725 · Cited by 2,072
Contemporary research on parenting: The case for nature and nurture
Collins, W. A., Maccoby, E. E., Steinberg, L., Hetherington, E. M., & Bornstein, M. H. (2000) · American Psychologist · doi:10.1037/0003-066x.55.2.218 · Cited by 1,523
Why g matters: The complexity of everyday life
Gottfredson, L. S. (1997) · Intelligence · doi:10.1016/s0160-2896(97)90014-3 · Cited by 1,408
General Mental Ability in the World of Work: Occupational Attainment and Job Performance.
Schmidt, F. L., & Hunter, J. (2004) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.86.1.162 · Cited by 1,238
Toward a theory of cognitive aptitude for learning from instruction.
Snow, R. E., & Lohman, D. F. (1984) · Journal of Educational Psychology · doi:10.1037//0022-0663.76.3.347 · Cited by 327
From Gifts to Talents: The DMGT as a Developmental Model
Gagné, F. (2005) · Conceptions of Giftedness · doi:10.1017/cbo9780511610455.008 · Cited by 313
Self-citation
Cited by
Meyers, M. C., & van Woerkom, M. (2014) · Journal of World Business · doi:10.1016/j.jwb.2013.11.003 · Cited by 417
Expert performance in sport and the dynamics of talent development
Phillips, E., Davids, K., Renshaw, I., & Portus, M. (2010) · Sports Medicine · doi:10.2165/11319430-000000000-00000 · Cited by 397
Gallardo-Gallardo, E., Nijs, S., Dries, N., & Gallo, P. (2015) · Human Resource Management Review · doi:10.1016/j.hrmr.2015.04.003 · Cited by 301
The Actiotope Model of Giftedness
Ziegler, A. (2005) · Conceptions of Giftedness · doi:10.1017/cbo9780511610455.024 · Cited by 285
Worrell, F. C., Subotnik, R. F., Olszewski-Kubilius, P., & Dixson, D. D. (2019) · Annual Review of Psychology · doi:10.1146/annurev-psych-010418-102846 · Cited by 245
Metadata
- Authors
- Gagné, F.
- Venue
- High Ability Studies
- Publisher
- Informa UK Limited
- Published
- 2004-12
- Volume
- 15
- Issue
- 2
- Pages
- 119-147
- ISSN
- 1359-8139 (ISSN-L)
- 1469-834X
- OpenAlex
- W2150739968
- Cited by
- 1,088
- References
- 9
- FWCI
- 15.79
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Transforming gifts into talents: the DMGT as a developmental theory1. https://app.cochat.ai/papers/10.1080/1359813042000314682
- The paper
- Gagné, F. (2004). Transforming gifts into talents: the DMGT as a developmental theory1. High Ability Studies. https://doi.org/10.1080/1359813042000314682
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
