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Record W1708202004 · doi:10.26522/tl.v2i1.116

Storytelling with Older Children: a reflection on practice

2004· article· en· W1708202004 on OpenAlexvenueno aff
Michael Wilson

Bibliographic record

VenueTeaching and Learning · 2004
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsnot available
Fundersnot available
KeywordsThrivingStorytellingHistoryOptimismPoliticsSociologyVisual artsPedagogyPsychologyNarrativeArtLiteraturePolitical scienceSocial scienceSocial psychologyLaw

Abstract

fetched live from OpenAlex

I started school in 1968, first in Denton, to the east of Manchester, and then a year later twelve miles away in the town of Bolton, the birthplace of the Industrial Revolution. It was at the time of the emergence of the alternative theatre movement in Britain, in the aftermath of the political optimism of 1968 and I was fortunate enough to attend a school in whose town the new theatre-in-education movement was thriving. I can remember a number of visits by theatre companies during my years at primary school, although after my move to secondary school at the age of eleven, there were no such visits. At that point no doubt the frivolity of theatre had to limit itself to being an extra-curricular activity, as we settled down to the more serious business of educations. At no time during my entire school career, which lasted thirteen years, did I ever encounter a storyteller. The first time I met a storyteller was shortly before coming one myself.

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)0.022
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.036
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0140.023
Scholarly communication0.0110.012
Open science0.0050.015
Research integrity0.0120.019
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.037
GPT teacher head0.386
Teacher spread0.349 · 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 designQualitative
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

Citations3
Published2004
Admission routes1
Has abstractyes

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