Bibliographic record
Abstract
bias, 148 Age, 185 All Country World Index (ACWI), 170 Allen v. McDonough working files, 109 American Council on Education (ACE), 4 American minorities, 137 American Red Cross, 202 Anti-defamation League, 101 Anti-racism, 212 Applied Behavior Analysis (ABA), 115 Asch's Conformity Theory, 169 improving board diversity through, 172 Assimilation, 41, 151, 210-211 Australian Institute of Company Directors (AICD), 170 Authoritative bodies, 201 Authority, 103, 234 Axial coding, 91 Behaviors, 46 Belonging, 30, 40, 122, 148 Belongingness, 30, 42, 157 Bias in society, 42 Black, Asian, or minority ethnic (BAME), 171 Black, Indigenous, and People of Color (BIPOC), 77, 180 Black Lives Matter, 17, 236 Board diversity, 168 Board members, 173-174 Boards, 173 Boston Public Schools (BPS), 109-110 Bravery, 101 Bridging differences (BD), 58-59 Burns, J. M., 98 Business management knowledge, 55 Business schools, 61 Business students, 54, 57 Canadian Multiculturalism Act, 211 Capacity, 16, 18 Choice points, 160 Circles, 234 Cisco Systems, 203 Civil Rights Act of 1964, 201 Classes cultures, 137 Classical psychological assessment of individual's qualities to multidisciplinary approach, 122-23 Co-creation, 125 Cognitive behavior therapy (CBT), 57 Cognitive empathy, 234-235 Cognitive style, 125 Cognitive task analysis, 61 Cohesion, 195 Cohort, 66, 114 Colbert, Vicky, 246-247 Collaboration, 16-17 Collective reflexivity, 127 Collective rights, 211 Colonial institutions, 212 Colonialism, 40, 211 and DEIB context, 41-43 implications and recommendations, 45-46 interpersonal behaviours, 44-45 organizational culture, 43-44 Colonize, 182 Comfort with being uncomfortable, 8 Command Advisory Group (CAG), 194 Common Ingroup Identity Model, 224, 226 Communication practices, 9 Community, 234 Community building, 244 Community field theory, 181 Community leadership, 182 Competency, 55-56 Competency development, 54, 56 Competitive differentiation, 169 Confederation of British Industry (CBI), 171 Conflict management, 45 Connecting with others (CO), 58 Connection, 146 Connective Leadership Model™, 244-245 (see also L-BL Achieving Styles Mode) case studies, 245-251 profile of leadership behaviors, 251-253 Construct validity, 124 Corporate boards, 168 Corporate social responsibility (CSR), 170 Courage, 8 COVID-19 pandemic, 170 Creativity and imagination, 8 Critical consciousness, 6 Critical democratic engagement, 103 Cross-group friendship, 225 Cultural benevolence, 212 Cultural diversity, 211 Cultural equity, 203 Cultural humility, 26-27 culture for inclusion, 27 and inclusion competencies, 28-29 inclusion competency inventory, 29-30 inclusion leadership competencies, 29 inclusive organizations, 27-28 results, 31-35 Cultural inclusivity, 136 Cultural interoperability, 193 Cultural mistrust, 42 Cultural safety for Indigenous employees, 44 Cultural tax, 211 Culture change, 5 Culture for inclusion, 27 Culture of belonging, 26 Cultures, 46, 129, 136-137, 162, 200 Cultures of trust, 43 Cycle of liberation, 257 Index 275 Truth and Reconciliation Commission of Canada (TRC), 210 UN Convention on the Rights of the Child, 98 Under-resourced communities, 248 Underrepresented, 66 Understanding, 140 Unifying processes, 122 Uniqueness, 157 United Nations (UN), 98, 192 United Nations Children's Fund (UNICEF), 103 United Nations Development Programme (UNDP), 197 United Nations Security Council Resolution (UNSCR), 197 Universities South Africa (USAf), 66-67 US Department of Health and Human Services (HSS), 201 US Equal Employment Opportunity Commission (EEOC), 222 Validity of assessment, 124-125 Values, SEL, 7-8 Valuing different perspectives (VP), 59 Vulnerability, 8
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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.810 | 0.830 |
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".