La ruralité et l'imaginaire des autoroutes de l'information.: Complémentaire ou rupture?
Bibliographic record
Abstract
francaisPar dela leurs usages multiples, les Autoroutes de l'information (Al) questionnent de nombreuses representations de l'organisation sociale. Parmi celles-ci, les representations de la ruralite sont particulierement appelees a se redefinir en fonction d'un imaginaire dominant qui favorise surtout l'universa- lisme traditionnel des cites, l'internationalisation et la mondialisation de la reference territoriale. Pour analyser la phenomenologie de la construction et de l'expression de cet imaginaire sur la societe quebecoise, nous avons construit un cadre conceptuel qui situe les Al a l'interieur d'une matrice de la reference socio-spatiale. L'analyse de discours qui en suit nous conduit a poser la question du potentiel theorique d'arrimage possible des imaginaires en cause et les capacites de la societe relative a le realiser. EnglishThe development of the Information Highway (IH) poses many questions about the representation of social organisation. Among these, the representation of ruralHy is particularly destined to be redefined in relation with the dominant imaginary. This promotes more the ideas of universalism, internationalism and the globalism of the city than the tradionalism of the rural reference. Our paper explores this phenomenon, particularly the construction and the expression (in discourse) of this imaginary in Quebec society. Basing our arguments on a conceptual framework. positioning the IH inside a socio-spatial reference, we pose some questions about the possible integration of these different imaginaries, their impacts on the rural identity and the potential of society to integrate them.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.033 |
| Scholarly communication | 0.015 | 0.013 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".