Download in progress-- offline meets online @ Nemaska.JamesBay : the use of information and communication technologies among the youth of a remote Cree community
Bibliographic record
Abstract
The Eastern James Bay Cree nation is at crossroads in terms of social and economic development. Endogenous and exogenous pressures may frustrate developmental schemes if they are not addressed in an effective and timely manner. Information and communication technologies (ICTs) present community members and the administration with feasible and effective tools that may aid in overcoming some of the challenges faced. This study examines the utilization of ICTs, particularly the Internet, among the youth of the James Bay Cree community of Nemaska, northern Quebec. It presents an account of local native representation, utilization, and appropriation of the Internet, as assessed and expressed by community members. The study concludes with community members' suggestions for enhancing capacity building among Nemaska youth that would aid in their well being as well as contribute to an improved quality of life within the Nemaska community more broadly. The results show that community members are open and willing to integrate ICTs in daily life but issues of access to information and infrastructure as well as skill development still need to be addressed in order to maximize the potential offered by the Internet.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.033 | 0.004 |
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".