MétaCan
Menu
Back to cohort
Record W3161686697 · doi:10.18192/cjms-rcem.v17i1.5877

Communication Studies, Interdisciplinarity Debates, and the Quest for Knowledge

2021· article· en· W3161686697 on OpenAlexaffvenue
Philip Onguny

Bibliographic record

VenueCanadian Journal of Media Studies · 2021
Typearticle
Languageen
FieldDecision Sciences
TopicInterdisciplinary Research and Collaboration
Canadian institutionsSaint Paul University
Fundersnot available
KeywordsEpistemologyAppealOperationalizationSociologyArgument (complex analysis)Communication studiesPolitical communicationField (mathematics)PoliticsRationalityMeaning (existential)Social sciencePolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

This article focuses on interdisciplinarity as a “future field” and what it means for the communication discipline. It argues that, whereas interdisciplinarity has the potential to produce “high-risk, high-reward” research outcomes, communication studies has more to gain refining the vast body of knowledge that has shaped its conceptual and institutional particularities across time and space. Whereas this argument is not anything new, I contribute to these debates by emphasizing anthropological questioning, epistemological formulations, ethical reasoning, and the quest for meaning as potential modalities of consolidating the epistemic and political views that have guided the intellectual impetus of communication studies. The proposed refinement is predicated on the assumption that communication studies is already a boundary-crossing discipline; the very reason it arguably lacks coherent historical roots and scientific rationality. The article contributes to the debates on how to operationalize communication studies as a scientific domain without losing its unique boundary-crossing appeal.

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)0.006
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.763
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.259
GPT teacher head0.490
Teacher spread0.230 · 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 teacher head, not a consensus.

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
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Media StudiesSame topicInterdisciplinary Research and CollaborationFrench-language works237,207