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Record W329316776 · doi:10.64152/10125/25103

The role of tasks in promoting intercultural learning in electronic learning networks

2000· article· en· W329316776 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLanguage learning & technology · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Education and Learning Practices
Canadian institutionsnot available
Fundersnot available
KeywordsEducational technologyPsychologyIntercultural communicationElectronic learningComputer-mediated communicationLanguage acquisitionCooperative learningComputer scienceTeaching methodMathematics educationPedagogyThe InternetWorld Wide Web

Abstract

fetched live from OpenAlex

This paper focuses on the role of tasks in promoting intercultural learning in learning networks and is based on qualitative research from three e-mail projects between English as a foreign language (EFL) high school classes (years 11 and 12) in Germany, and English and Social Studies classes in the United States and Canada.The joint reading of literary texts formed the basis for discussion on the networks.A comparison between intercultural learning in the actual reading process and the negotiation of meaning in the network phases shows a close resemblance in the structure and use of tasks.Task properties, such as activity, setting, and teacher and learner roles, as well as the personal level (i.e., non-thematic exchange of information) in the asynchronous e-mail exchange, proved to be especially influential for intercultural learning in the design and management of task structure.1. communicate appropriately with native speakers of the language; 2. get to understand others;

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.679
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.004
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 head0.007
GPT teacher head0.316
Teacher spread0.309 · 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