Bibliographic record
Abstract
Attempts are being made to include members of excluded groups in societal institutions. Inclusion has been proposed as the solution to the injustice caused by exclusion. Yet, inclusion does not always achieve justice and might sometimes perpetuate injustice. This Article provides a framework for understanding inclusion that may fail to achieve social justice and uses this framework to assess the inclusion of lesbians and gays within marriage (marriage equality) and of women and minorities within organizations (organizational diversity). The former case study examines the legal and social movement for recognizing same-sex marriage while the latter engages a range of contemporary debates, including workplace diversity, gays in the military, women in armed combat and gender mainstreaming at the UN. Each shows that inclusion is less likely to achieve social justice where it misconstrues injustice, maintains the status quo, decouples from justice, legitimizes the institution or rationalizes injustice.
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 | 0.039 | 0.061 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.022 | 0.094 |
| Scholarly communication | 0.014 | 0.025 |
| Open science | 0.003 | 0.032 |
| Research integrity | 0.008 | 0.017 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".