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Record W4403011849 · doi:10.23865/up.v18.5293

Å utvikle kommunikativ og kulturelt forankra skrivekompetanse. Ein studie av språklege og tekstlege ressursar i elevtekstar frå dei to første skuleåra

2024· article· no· W4403011849 on OpenAlexaff
Randi Solheim, Daroon Yassin Falk, Anne Kathrine Hundal, Synnøve Matre, Astrid Kufaas Morken, Mari Nygård

Bibliographic record

VenueNordisk tidsskrift for utdanning og praksis · 2024
Typearticle
Languageno
FieldArts and Humanities
TopicDiscourse Analysis in Language Studies
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

Denne artikkelen spring ut av eit større intervensjonsprosjekt om tidleg skriveopplæring og er basert på analysar av totalt 541 elevtekstar, samla inn ved slutten av første og andre skuleår. Tekstanalysane er primært empiridrivne, og fleire språk- og tekstvitskaplege inngangar er nytta for å undersøke korleis skrivarane tar ulike ressursar i bruk for å skape og formidle meining. Formålet med studien er å gi eit oversiktsbilde over teksttypar, språklege trekk og mottakarorientering, og å seie noko overordna om skriveutvikling. Analysane viser at skrivarane drar vekslar på eit stort repertoar av meiningsskapande ressursar i form av språktrekk og visuelle uttrykk som utdjupar innhaldet og skaper samanheng i tekstane. Skrivarane knyter også band til mottakarane og går på ulike og kreative måtar i dialog med etablerte tekstkonvensjonar og tekstkulturar. Vidare viser resultata gradvis utvikling av skrivekompetanse, men samtidig stor variasjonsbreidd, frå første til andre skuleår. Bruken av multimodale ressursar går ned, og det er flest høgtpresterande elevar som teiknar og brukar interpersonelle ressursar. Studien reiser didaktiske spørsmål om korleis arbeid med eit breitt repertoar av ressursar i ulike skrivesituasjonar kan hjelpe unge skrivarar til å skape ytringar som kommuniserer med lesaren, både som individuelle uttrykk og i tråd med språklege og tekstkulturelle konvensjonar ENGLISH ABSTRACT Developing Cultural Writing Competence. A Study of Textual and Linguistic Resources in Student Texts from the First and Second Years of School This article stems from a large intervention project on writing education in the first years of Norwegian primary school. The presented study is based on analyses of a total of 541 student texts, collected at the end of years 1 and 2. The analyses are primarily data driven, and several linguistic and textual approaches are used to examine how the young writers use various resources to create and convey meaning. The purpose of the study is to provide an overview of text types, textual and linguistic features, and audience awareness, and to give a broad picture of writing development. The analyses show that the writers draw on a large repertoire of meaning-making resources in terms of linguistic features and visual expressions that elaborate the content and build coherence in their texts. The writers address their readers in diverse and creative ways, which involve established conventions and text cultures. Furthermore, the results show a gradual development of writing competence, but also a wide range of variation, from the first to the second year of schooling. The use of multimodal resources decreases, and it is mostly high-performing students who draw and use interpersonal resources. The study raises questions about how working with a broad repertoire of resources in writing education can help young writers to make meaning within various contexts of writing, and to engage in writing processes that contribute to their growing into language and text cultures.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.524
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.001
Science and technology studies0.0050.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.033
GPT teacher head0.325
Teacher spread0.292 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

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Same venueNordisk tidsskrift for utdanning og praksisSame topicDiscourse Analysis in Language StudiesFrench-language works237,207