ERIC ED477383: Teaching for Change: Popular Education and the Labor Movement.
Bibliographic record
Abstract
These 28 essays recount popular education's history and its multiple uses in the labor movement today: to organize the unorganized, to develop new leaders and activists, and to strengthen labor and community alliances. They explore its other facets: theater and culture, economics education, workplace safety and health, and classroom use and address experiences from Canada and the United States (US)-Mexico border. The essays are "Popular Education" (Bernard); "Popular Education, Labor, and Social Change" (Hurst); "Highlander and Labor" (Williams, Sessions); "Organizing Public Sector Workers in Puerto Rico" (Delp, Outman-Kramer); "Stamford, Connecticut, Case Study" (McAlevey); "Paolo Freire Hits L.A.'s Mean Streets" (Bacon); "Year 2000 Justice for Janitors Campaign" (Arellano);"Las Vegas Hotel Workers Find a Voice" (Lee, Baker); "Empowering the Members' Voice" (Del Valle); "Economic Justice in the Los Angeles Figueroa Corridor" (Haas); "Fighting for a Living Wage in Santa Monica" (Rothstein); "Just Transition Alliance" (View); "Power of Voices" (Williams); "Battle in Seattle" (Brown); "On Theater and the Labor Movement" (Delp, Outman-Kramer); "Forum Theater" (Delp); "Theater for Worker Health and Safety" (Dooley); "Experiences with Popular Economic Education" (Teninty); "Justice for Avondale Workers" (Washington); "Building a Worker Health and Safety Movement" (Delp); "Workplace Learning, Literacy, and English for Speakers of Other Languages" (Chenven); "English Classes at the Union Hall" (Utech); "Labor in the Schools" (Tubach); "Labor Deserves Credit" (Schurman); "Case Method in Labor Leadership Education" (Bernard); "Confronting Trade Policies from the Bottom Up" (Delp, De Lara); and "Worker-Educators and Union Transformation" (Thomas, Martin). A resources list consists of 18 United States, 5 Canadian, 2 Latin American, and 1 Asian organizations and 2 international networks. (YLB)
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.023 | 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 teacher head, 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".