Bibliographic record
Abstract
"International Deficit Thinking: Educational Thought and Practice explores the incontrovertible reality of the persistent and pervasive academic achievement gap in many countries between marginalized students (primarily of color) and their economically advantaged White counterparts. For example, International Deficit Thinking discusses the cases of low-socioeconomic Black and Mexican American students in the U.S., Indigenous Maori students in New Zealand, and immigrant Moroccan and Turkish pupils in Belgium. The predominant theoretical perspective that has been advanced to explain the school failure of marginalized students is the deficit thinking paradigm-a parsimonious, endogenous, and pseudoscientific model that blames such students as the makers of their own school failure. Deficit thinking asserts that the low academic achievement of many marginalized students is due to their limited intellectual ability, poor academic achievement motivation, and being raised in dysfunctional families and cultures. Drawing from, in part, critical race theory, systemic inequality analysis, and colonialism/postcolonialism, award-winning author and scholar Richard Valencia examines deficit thinking in education in 16 countries (e.g., Canada; Peru, Australia; England; India; South Africa). He seeks to (a) document and debunk deficit thinking as an interpretation for school failure of marginalized students; (b) offer scientifically defensible counternarratives for race-, class-, language-, and gender-based differences in academic achievement; (c) provide suggestions for workable and sustainable school reform for marginalized students"--
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 | 0.012 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.007 | 0.037 |
| Scholarly communication | 0.016 | 0.010 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".