La communication organisationnelle et numérique : formation en mutation, profession en construction
Bibliographic record
Abstract
Le dispositif de l’apprentissage universitaire en communication paraît faire émerger de façon singulière la problématique de la construction des compétences du groupe professionnel des communicants. Nous supposons que ce type de dispositif pour une formation en communication à un niveau master soulève la problématique du primat du terrain dans la formation des compétences spécifiques à la communication des organisations. En d’autres termes, une appropriation de la formation des étudiants, notamment apprentis, par les professionnels, instaurés tuteurs d’apprentissage par le dispositif, pourrait-elle se faire aux dépends de la formation académique ? De récentes études montrent que la définition du groupe professionnel des communicants est fortement soumise aux mutations organisationnelles dues pour partie au numérique. Nous explorons, suivant une démarche compréhensive, cette écologie organisationnelle en cours de complexification et les effets d’une communication essentialisée par les professionnels dont le numérique est devenu l’instrument princeps. Nous avons procédé par questionnaires et entretiens auprès des étudiants et professionnels attachés à la formation par apprentissage d’un Master en communication à l’Université de Nice Sophia Antipolis. The university learning device in communication seems to emerge in a singular way the issue of the construction skills of the professional group of communicators. We assume that this type of device for communication training at a master level raises the issue of the primacy of the field in the formation skills specific to the communication of the organizations. In other words, ownership of the training of students, including apprentices, by professionals, learning tutors introduced by the device, it could be done at the expense of academic training? Recent studies show that the definition of » professional groups » of communicators is highly subject to organizational changes due in part to digital. We explore, following a comprehensive approach, this organizational ecology being complexity and the effects of essentialised communication professionals whose digital has become the instrument originator. We conducted by questionnaires and interviews with students and professionals committed to the apprenticeship of a Master in Communication at the University of Nice Sophia Antipolis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.014 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".