Téléconseillers et community managers : quelles professionnalités pour la médiation entreprise-publics à l’heure du numérique?
Bibliographic record
Abstract
La figure du community manager occupe désormais une position notable dans les discours professionnels relatifs aux domaines de la communication et du marketing. Cet article propose d’établir un parallèle avec les travaux qui ont pu être consacrés, dans les années 2000, à une autre figure professionnelle alors en pleine visibilité, celle du téléconseiller, à l’œuvre dans le cadre des stratégies de gestion de la relation client. À l’aide de données issues d’entretiens semi-directifs menés auprès de professionnels et d’étudiants en communication, il s’agit ici de mettre en évidence le glissement du champ professionnel de la médiation entreprise-public, d’une perspective individuelle déjà complexe et adaptée à l’échange téléphonique, à une vision ajoutant les opportunités ouvertes par les réseaux numériques en ce qui concerne l’hybridité de formats et de pratiques.
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 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 | 0.009 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.028 | 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".