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Record W2014510465 · doi:10.1075/ni.15.2.04mck

Improving story complexity and cohesion

2005· article· en· W2014510465 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNarrative Inquiry · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCohesion (chemistry)NarrativeGroup cohesivenessPsychologyCoherence (philosophical gambling strategy)CognitionMathematics educationCognitive psychologyComputer scienceSocial psychologyLinguisticsMathematics

Abstract

fetched live from OpenAlex

The aim of the present study was to analyze the relative effectiveness of two first grade instruction programs: a developmental program that focused on the structural and social-psychological components of stories and their cohesion and a process oriented approach. A total of 43 children participated in daily sessions over 3 months (experimental group N = 22, comparison group N = 21). Measures of conceptual language and oral narrative were obtained and participants' protocols were analyzed for plot and coherence. Statistical analyses showed that the developmental method was more effective than the process approach in advancing the complexity and cohesion of children's narratives. To explore the interactions between instruction and learning, a time series analysis was conducted with seven randomly selected experimental group participants. These results showed that gains did not follow a linear pattern and that performance was shaped by the cognitive complexity of task demands. Implications for the development of narrative thought and classroom instruction are discussed. ( Narrative, Instruction, Development )

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.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score0.600

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.101
GPT teacher head0.384
Teacher spread0.283 · 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