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Record W7098710264

Development: Qualities of Self- Directed Age Mixing between

2004· article· en· W7098710264 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Issues and Policies in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsNature versus nurtureSet (abstract data type)Mixing (physics)Field (mathematics)Value (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

At an ungraded, democratically structured school, we documented 196 naturally occurring interaction sequences between adolescents (ages 12–19) and children (ages 4–11) who were at least four years younger than the adolescent. Children and adolescents appeared to be drawn together by common interests and play styles, personal attraction, and complementary desires to nurture and be nur-tured. Further analyses identified apparent contributions of such interactions to both parties ’ physical, intellectual, and social/moral education. Adolescents led children to act within the latter’s zones of proximal development (Vygotsky’s term), and children stimulated adolescents to make implicit knowledge explicit, be creative, and practice nurturance and leadership. The potential educational value of free age mixing between adolescents and younger children has been largely neglected because of the widespread ac-ceptance of the conventional scheme of age-graded schooling. To address this neglect, we analyzed qualitatively a set of field notes that describe nearly two hundred separate vignettes involving interactions between adolescents and younger children at a radically alternative school, the Sudbury Valley School. Our analysis identified seven qualities that were prominent in these interac-

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.889
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.044
GPT teacher head0.366
Teacher spread0.322 · 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 teacher head, 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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