"What's the catch?" Testing theories regarding the implications of recent federal initiatives for the social sciences and the humanities
Notice bibliographique
Résumé
There has been subtantial academic concern over what is deemed to be the negative implications of the recent "reinvestment" phase of federal research funding (1999 to 2008). For the social sciences and humanities, however, nuch of this concern is not substantiated with any actual data. This thesis examines five of these proposed theses (or "fears") and finds that only one can be supported by actual evidence. The remaining four concerns are thus premature or erroneous. The first thesis centers around total dollar funding amounts and argues that federal funding is either dwindling for the social sciences and humanities or has decreased in proportion to other disciplines. Using publicly available data this is found to be false and in conflict with the actual trends occurring during this period. The second thesis argues that federal funding initiatives specifically target business or industrial-related research, to the detriment of the public good. This fear is qualified and then dismissed through an analysis of private sector R&D expenditures, commercialization activity, and new initiatives developed during this period. Related to the above, the third thesis posits that federal funding has become "targeted," or directed away from basic research and towards specific (applied) fields of federal interest. Using public data this is shown to be false. Thesis four constitutes the only fear which is substantiated in this analysis. Scholars have argued that recent funds have cultivated a certain level administrative control over the direction of faculty research, primarily for the purposes of increasing funding success. This trend is examined in detail in chapter 3 using interview data with research officials at Canadian institutions. The final thesis argues that the value of social sciences and humanities grant success is growing for both universities and faculty and has led to a corresponding increase in competition, hierarchy, and differentialization between Canadian institutions. After examining this argument in chapter 4, this hypothesis is found to be in serious need of qualification. The work concludes by noting that the net effects of funding fluctutations on research activity for these disciplines are much less pervasive than most scholars recognize. It also argues that greater intellectual rigor is needed if future publications actually expect to help academics understand changes on this issue. Quantitative and qualitative changes in research funding do have serious implications for the research activity of the disciplines at large. Unfortunately, to date, these implications have neither been well described nor accurately represented by the scholars devoted to their exposition.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,080 | 0,232 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,004 | 0,018 |
| Communication savante | 0,009 | 0,014 |
| Science ouverte | 0,004 | 0,005 |
| Intégrité de la recherche | 0,004 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».