The Rise and Decline of State Funded Community Information Centres: A Textually Oriented Discourse Analysis
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.
Bibliographic record
Abstract
Cet article porte sur la methode d'analyse de discours textuellement orientee (TODA), developpee par Norman Fairclough, et de son utilite comme outil analytique approprie pour l'examen de problemes relevant du domaine de la bibliotheconomie et aux sciences de l'information, specifiquement le secteur de l'etude critique des politiques d'information. En tant que tel, le modele a trois paliers de Fairclough est utilise pour realiser une analyse de discours sur un groupe de politiques d'information publiques, afin de decouvrir l'histoire qui se cache derriere l'essor et le declin des centres d'information communautaires subventionnes par l'etat au Canada depuis 1970. En plus de presenter ce modele fertile pour l'analyse de discours en bibliotheconomie et sciences de l'information, cette etude a produit un instrument de recherche adapte du modele de Fairclough, qui est potentiellement reutilisable par des chercheurs travaillant dans d'autres secteurs de ce domaine.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.017 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it