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Record W3008632098 · doi:10.18806/tesl.v36i3.1325

Social Media for Social Inclusion: Barriers to Participation in Target-Language Online Communities

2019· article· en· W3008632098 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.

venuePublished in a venue whose home country is Canada.
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

VenueTESL Canada Journal · 2019
Typearticle
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsnot available
Fundersnot available
KeywordsInclusion (mineral)Social mediaSociologyComputer-mediated communicationPsychologyPedagogyHumanitiesLinguisticsThe InternetWorld Wide WebComputer scienceGender studiesArt

Abstract

fetched live from OpenAlex

Many learners, even those studying at universities in regions where the target language is spoken, lack opportunities for meaningful language use outside of the classroom. One avenue for learners to increase authentic target-language communication is online affinity spaces within social media platforms, where interactions with other users are formed around shared interests rather than personal connections. International students at an arts and media college in the Midwestern United States were asked to read a discussion thread within a social media platform, summarize what they found useful, and respond to pre- and posttask questionnaires. The platform used, Reddit, features anonymous user-generated content in a wide range of discussion forums based around specific interests and geographic locations. This study used qualitative data to investigate the extent to which international students participate in online communities like these and the factors or barriers that keep them from achieving full participation. The findings are then used to present learner training strategies that can help reduce or remove those barriers, enabling language learners to increase their participation in target-language online communities. 
 Plusieurs apprenantes et apprenants, même parmi celles et ceux qui étudient dans une université située dans une région où la langue cible est parlée, n’ont pas suffisamment d’occasions de pratiquer avantageusement leur nouvelle langue en dehors de la salle de classe. Une avenue qui s’ouvre à elles et à eux pour augmenter leurs chances de s’adonner à des communications authentiques dans leur langue cible est l’espace d’affinité en ligne sur les réseaux sociaux, endroit où les interactions sont davantage basées sur le partage d’intérêts communs que sur des relations personnelles. Des étudiantes et étudiants internationaux d’un collège des arts et des médias du Midwest des États-Unis ont été invités à lire un fil de discussion sur une plateforme de réseau social, à en résumer les éléments jugés utiles et à répondre à un questionnaire avant et après l’exercice. La plateforme utilisée, Reddit, présente des contenus qui sont générés anonymement par les utilisateurs dans un large éventail de forums de discussion et qui sont regroupés autour d’intérêts et de secteurs géographiques particuliers. Cette étude utilise des données qualitatives permettant d’évaluer dans quelle mesure les étudiantes et étudiants internationaux participent à la vie de communautés en ligne de ce genre et de déterminer quels sont les facteurs ou obstacles qui les empêchent de le faire pleinement. Les constatations sont ensuite utilisées pour présenter des stratégies de formation des apprenantes et apprenants qui sont susceptibles d’aider à réduire ou aplanir ces obstacles et à aider par le fait même les participants à s’impliquer davantage dans la vie de communautés en ligne s’exprimant dans leur langue cible.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.305
Teacher spread0.280 · 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