Gifted students' perceptions of multipotentiality among gifted students: a grounded theory analysis
Bibliographic record
Abstract
This thesis is a summation of interviewing five gifted grade nine students who happen also to be multi-talented. A grounded theory research design integrated eleven questions about how these students, from a large Westem Canada city, relate to various aspects of being multi-talented. Major findings for these high-ability and multi-talented students were a strong autotelic work ethic, the support system of a similarly multi-talented family, effectively trained teachers, and the school's diversified curriculum within a congregated gifted and talented setting. All participants were highly critical of those who were perceived to be "wasting their talent". Data analysis on the participants' responses identified factors that influenced their strong work ethic: relationships with supporting teachers; involvement in extra-curricular activities on a multiple of playing fields; choice, opportunity for independent study, and special programs. Implications for teachers, for dispensing the curriculum, and for accommodating the needs of the multi-talented student are also presented.
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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 | 0.012 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".