Memories of sounds : radio as sound representation among the Latin American exiled diaspora in the Canadian west coast
Bibliographic record
Abstract
The 1970s and 1980s were decades of turmoil as political violence spread through different parts of Latin America in the context of the Cold War. Exiles from the Southern Cone made their way to the Canadian west coast, followed soon by Central American refugees. During this time, the emergent Pan-Latin American diaspora and local alternative media activists produce the radio program América Latina al Día [Latin America Today] or ALAD as a tool with which to create a sonorous space for discourse and praxis. Since its creation, the radio show has been bilingual, run by volunteers and has been on air for more than forty years from the Vancouver Radio Cooperative studios. This dissertation examines closely why and how different waves of Latin American exiles arriving in Vancouver in the last third of the 20th Century made use of bilingual radio. Through an oral narrative approach, this case study maps the radio experience as an everyday practice in the life of 10 former ALAD radio collective members during the 1980s. The author also weaves her own experience(s) as media activist, radio producer and exile. The study’s interdisciplinary focus provides rich insights in four broad themes that emerged from the oral interviews: 1) radio as a social and connective medium and its impact on the lives of the participants, 2) radio seen as a new kind of Latin American public plaza, 3) the emotional and physical challenges brought into the lives of the interviewees due to their participation in the radio collective, and 4) the process of producing ALAD as a practice in motion. This case study sheds light into the ways exiles recreate communication media to maintain a link with their home countries, while rebuilding their political identity and re-creating trans diasporic communities. ALAD is a unique example of a communication practice in motion (Rodriguez, 2001) and constitutes an exercise of cultural agency, not only for exiles and migrants from Latin America, but also for local activists who share the utopian conviction that alternative media can be a tool for social transformation.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.028 | 0.015 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".