Outside the Lines: Innovations in Researching Giftedness
Bibliographic record
Abstract
This special issue focuses on the reconceptualization of giftedness.Five papers explore how we define, identify, research, and support gifts and talents.As guest editors, this has been a very exciting project.It began as a symposium at the Canadian Society for the Study of Education in 2008.Our passion for challenging the status quo, questioning what is "inside the lines" of current definitions of and research into giftedness, and doing so in forms that are themselves "outside the lines" prompted further exploration and writing.The papers highlight the possibilities of plurality in how we approach research and represent knowledge (Eisner, 1997;Shore & Friedman, 2000) both in their form and their content.In hand with this, we resist, as Cross ( 2003) cautioned, the "correct" conception of giftedness and instead support "understanding of the various ways people think about inquiry or research and how this relates" (p.77) to our conceptualizations and understandings of giftedness.Present in these papers are poetic analysis; children"s perceptions of learning identities expressed in drawings, poems, and music; narrative; metaphors; and pedagogical analysis via documentation of learning, all of which provoke thinking about research and education that promote the realization of all children"s potential.The last two decades of the 20 th century were characterized by efforts designed to encourage the reconsideration and expansion of our definitions of giftedness to allow for the multiple ways in which one can be competent (e.g., Gardner, 1983).As we enter the 21 st century, these efforts have broadened to include "gift creation" rather than identification (Hymer, 2009;
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.004 | 0.044 |
| Scholarly communication | 0.018 | 0.025 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".